awesome-QAI-Papers-QRL

KO | EN

gitlite — search

#react #go #android #rust #deep-learning #linux #java #windows #awesome #cli #awesome-list #pytorch #security #open-source

awesome-QAI-Papers-QRL

(★ 23)

No description available.

awesome-QAI-Papers-QRL Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# 🔄 Quantum Reinforcement Learning (QRL) Papers

This section of the **Quantum AI Papers** repository focuses on **Quantum Reinforcement Learning (QRL)**.  
QTL leverages knowledge from pre-trained quantum or hybrid quantum-classical models and adapts it to new tasks or domains. This paradigm plays a crucial role in overcoming limitations of small datasets, reducing training costs, and accelerating the deployment of quantum-enhanced AI systems.

---

## 📚 Scope
Research papers in this category explore:
- Transfer of learned quantum circuit parameters between tasks  
- Hybrid classical–quantum transfer learning frameworks  
- Applications of QTL in physics, chemistry, medical imaging, and natural language processing  
- Optimization strategies to mitigate issues such as barren plateaus  
- Cross-domain transfer of quantum models for practical real-world problems

---

## 🗂️ Papers List

| title                                                                                                                                  |   year | publisher                                                                                                 | Author                                                                                                                                                                                                                       | link                                                                                                | category   |
|:---------------------------------------------------------------------------------------------------------------------------------------|-------:|:----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------|:-----------|
| Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning                                                                                          |   2025 | IEEE Xplore                                                                                               | Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung                                                                                                                                                              | https://ieeexplore.ieee.org/abstract/document/11007471                                              | QRL        |
| Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks                                            |   2025 | IEEE Xplore                                                                                               | Gyu Seon Kim, Yeryeong Cho, Jaehyun Chung, Soohyun Park, Soyi Jung, Zhu Han                                                                                                                                                  | https://ieeexplore.ieee.org/abstract/document/11127131                                              | QRL        |
| Quantum computing and neuromorphic computing for safe, reliable, and explainable multi-agent reinforcement learning: optimal control in autonomous robotics |   2025 | springer                                                                                                  | Mazyar Taghavi, Rahman Farnoosh                                                                                                                                                                                              | https://ieeexplore.ieee.org/abstract/document/10945633                                              | QRL        |
| Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction                                                      |   2025 | arxiv                                                                                                     | Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan                                                                                                                                                                    | https://link.springer.com/article/10.1007/s42044-025-00306-z                                        | QRL        |
| Optimal Energy Management for Multistack Fuel Cell Vehicles Based on Hybrid Quantum Reinforcement Learning                                                  |   2025 | IEEE Xplore                                                                                               | Wenzhuo Shi, Xianzhuo Sun, Zelong Zhang, Junyu Chen, Yuhua Du, Jiaqi Ruan                                                                                                                                                    | https://ieeexplore.ieee.org/abstract/document/10887326                                              | QRL        |
| Quantum Reinforcement Learning for Coordinated Satellite Systems                                                                                            |   2025 | IEEE Xplore                                                                                               | Gyu Seon Kim, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim                                                                                                                                                               | https://ieeexplore.ieee.org/abstract/document/10889145                                              | QRL        |
| Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments                            |   2025 | ads                                                                                                       | Gonçalves de Sousa, Umberto                                                                                                                                                                                                  | https://ui.adsabs.harvard.edu/abs/2025arXiv250603205G/abstract                                      | QRL        |
| Quantum computing approach for multi-objective routing and spectrum assignment optimization                                                                 |   2025 | optica                                                                                                    | Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez-Chulde, Ricardo Martínez, Ramon Casellas, Idelfonso Tafur Monroy                                                                    | https://opg.optica.org/jocn/fulltext.cfm?uri=jocn-17-6-B15&id=570043                                | QRL        |
| Quantum framework for reinforcement learning: Integrating the Markov decision process, quantum arithmetic, and trajectory search                            |   2025 | Physical Review A                                                                                         | Thet Htar Su, Shaswot Shresthamali, and Masaaki Kondo, Gyu Seon Kim, Korea University, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim                                                                                      | https://journals.aps.org/pra/abstract/10.1103/5lfr-xb8m                                             | QRL        |
| Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach                                                           |   2025 | arxiv                                                                                                     | Yang Xu, Vaneet Aggarwal                                                                                                                                                                                                     | https://arxiv.org/abs/2501.16243                                                                    | QRL        |
| Reinforcement learning-based architecture search for quantum machine learning                                                                               |   2025 | Machine Learning Science and Technology                                                                   | Frederic Rapp, David A Kreplin, Marco F Huber and Marco Roth                                                                                                                                                                 | https://iopscience.iop.org/article/10.1088/2632-2153/adaf75/meta                                    | QRL        |
| Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning                                                                            |   2025 | arxiv                                                                                                     | Kalyan Cherukuri, Aarav Lala, Yash Yardi                                                                                                                                                                                     | https://arxiv.org/abs/2505.11862                                                                    | QRL        |
| Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review                                                                   |   2025 | MDPI                                                                                                      | James C. L. Chow                                                                                                                                                                                                             | https://www.mdpi.com/1999-4893/18/3/156                                                             | QRL        |
| Enhanced Reinforcement Learning-driven Process Design via Quantum Machine Learning                                                                          |   2025 | systems amd control Transactions                                                                          | Austin Braniffa, Fengqi Youb, and Yuhe Tiana                                                                                                                                                                                 | https://psecommunity.org/wp-content/plugins/wpor/includes/file/2506/LAPSE-2025.0377-1v1.pdf         | QRL        |
| RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning                                                             |   2025 | frontiersin                                                                                               | Yang Jing, Li Weiya                                                                                                                                                                                                          | https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2024.1464572/full         | QRL        |
| PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values                                                                            |   2025 | arxiv                                                                                                     | Yu-Xin Jin, Zi-Wei Wang, Hong-Ze Xu, Wei-Feng Zhuang, Meng-Jun Hu, Dong E. Liu                                                                                                                                               | https://arxiv.org/abs/2501.07085                                                                    | QRL        |
| Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments                            |   2025 | ads                                                                                                       | Gonçalves de Sousa, Umberto                                                                                                                                                                                                  | https://ui.adsabs.harvard.edu/abs/2025arXiv250603205G/abstract                                      | QRL        |
| Advanced Quantum Control With Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain                                                            |   2025 | IEEE Xplore                                                                                               | Farshad Rahimi Ghashghaei, Nebrase Elmrabit, Ayyaz-Ul-Haq Qureshi, Adnan Akhunzada, Mehdi Yousefi                                                                                                                            | https://ieeexplore.ieee.org/abstract/document/10926186                                              | QRL        |
| ARDNS-FN-Quantum: A Quantum-Enhanced Reinforcement Learning Framework with Cognitive-Inspired Adaptive Exploration for Dynamic Environments                 |   2025 | ads                                                                                                       | Gonçalves de Sousa, Umberto                                                                                                                                                                                                  | https://ui.adsabs.harvard.edu/abs/2025arXiv250506300G/abstract                                      | QRL        |
| Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization                                                                    |   2025 | arxiv                                                                                                     | Yulison Herry Chrisnanto, Julian Evan Chrisnanto                                                                                                                                                                             | https://arxiv.org/abs/2508.16611                                                                    | QRL        |
| Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm                                                                    |   2025 | arxiv                                                                                                     | Moustafa Zada                                                                                                                                                                                                                | https://arxiv.org/abs/2501.10673                                                                    | QRL        |
| A reinforcement learning approach to the design of quantum chains for optimal energy and state transfer                                                     |   2025 | Machine Learning Science and Technology                                                                   | S Sgroi, G Zicari, A Imparato and M Paternostro                                                                                                                                                                              | https://iopscience.iop.org/article/10.1088/2632-2153/ada71d/meta                                    | QRL        |
| QFOR: A Fidelity-aware Orchestrator for Quantum Computing Environments using Deep Reinforcement Learning                                                    |   2025 | arxiv                                                                                                     | Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya                                                                                                                                                                                | https://arxiv.org/abs/2508.04974                                                                    | QRL        |
| Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market                                                                 |   2025 | arxiv                                                                                                     | Chi-Sheng Chen, Xinyu Zhang, Ya-Chuan Chen                                                                                                                                                                                   | https://arxiv.org/abs/2506.20930                                                                    | QRL        |
| Qtrl: Toward practical quantum reinforcement learning via quantum-train                                                                                     |   2024 | arXiv                                                                                                     | Liu, Chen-Yu, et al.                                                                                                                                                                                                         | https://arxiv.org/pdf/2407.06103                                                                    | QRL        |
| Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines                                                                         |   2024 | Quantum Science and Technology                                                                            | Schenk, Michael, et al.                                                                                                                                                                                                      | https://iopscience.iop.org/article/10.1088/2058-9565/ad261b/meta                                    | QRL        |
| Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning.                                                                  |   2024 | arXiv                                                                                                     | Chen, Samuel Yen-Chi.                                                                                                                                                                                                        | https://arxiv.org/pdf/2407.18202                                                                    | QRL        |
| Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse                                                                              |   2024 | IEEE Access                                                                                               | Park, Soohyun, Hankyul Baek, and Joongheon Kim.                                                                                                                                                                              | https://ieeexplore.ieee.org/document/10501929?denied=                                               | QRL        |
| Brain-Inspired Agents for Quantum Reinforcement Learning                                                                                                    |   2024 | Mathematics                                                                                               | Andrés, Eva, Manuel Pegalajar Cuéllar, and Gabriel Navarro.                                                                                                                                                                  | https://www.mdpi.com/2227-7390/12/8/1230                                                            | QRL        |
| Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach                                            |   2024 | IEEE Transactions on Vehicular Technology                                                                 | Kim, Gyu Seon, Jaehyun Chung, and Soohyun Park.                                                                                                                                                                              | https://ieeexplore.ieee.org/abstract/document/10461080                                              | QRL        |
| Efficient relation extraction via quantum reinforcement learning                                                                                            |   2024 | Complex & Intelligent Systems                                                                             | Zhu, Xianchao, et al.                                                                                                                                                                                                        | https://link.springer.com/article/10.1007/s40747-024-01381-8                                        | QRL        |
| Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization.                                                                     |   2024 | arXiv                                                                                                     | Kruse, Georg, et al.                                                                                                                                                                                                         | https://arxiv.org/pdf/2405.07790                                                                    | QRL        |
| Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation.                                                                              |   2024 | arXiv                                                                                                     | Franz, Maja, et al.                                                                                                                                                                                                          | https://arxiv.org/pdf/2405.07770                                                                    | QRL        |
| Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning                                              |   2024 | Quantum Information Processing                                                                            | Cuéllar, Manuel P., M. C. Pegalajar, and C. Cano.                                                                                                                                                                            | https://link.springer.com/article/10.1007/s11128-024-04391-0                                        | QRL        |
| Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing                                                                          |   2024 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)                         | Chen, Samuel Yen-Chi.                                                                                                                                                                                                        | https://ieeexplore.ieee.org/abstract/document/10446089                                              | QRL        |
| Quafu-RL: The cloud quantum computers based quantum reinforcement learning                                                                                  |   2024 | Chinese Physics                                                                                           | Jin, Yu-Xin, et al.                                                                                                                                                                                                          | https://iopscience.iop.org/article/10.1088/1674-1056/ad3061/meta                                    | QRL        |
| Quantum Advantage Actor-Critic for Reinforcement Learning                                                                                                   |   2024 | arXiv                                                                                                     | Kölle, Michael, et al.                                                                                                                                                                                                       | https://arxiv.org/abs/2401.07043                                                                    | QRL        |
| Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse                                                   |   2024 | IEEE Transactions on Mobile Computing                                                                     | Park, Soohyun, et al.                                                                                                                                                                                                        | https://ieeexplore.ieee.org/abstract/document/10543150                                              | QRL        |
| Reinforcement learning assisted recursive QAOA                                                                                                              |   2024 | EPJ Quantum Technology                                                                                    | Patel, Yash J., et al.                                                                                                                                                                                                       | https://epjqt.epj.org/articles/epjqt/abs/2024/01/40507_2023_Article_214/40507_2023_Article_214.html | QRL        |
| A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning                                                               |   2024 | arXiv                                                                                                     | Kölle, Michael, et al.                                                                                                                                                                                                       | https://arxiv.org/abs/2405.12354                                                                    | QRL        |
| eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels                                              |   2024 | arXiv                                                                                                     | DeRieux, Alexander, and Walid Saad.                                                                                                                                                                                          | https://arxiv.org/abs/2405.17486                                                                    | QRL        |
| Quantum Reinforcement Learning in Non-Abelian Environments: Unveiling Novel Formulations and Quantum Advantage Exploration                                  |   2024 | arXiv                                                                                                     | Ghosal, Shubhayan.                                                                                                                                                                                                           | https://arxiv.org/abs/2406.06531                                                                    | QRL        |
| Reinforcement Learning for Variational Quantum Circuits Design                                                                                              |   2024 | arXiv                                                                                                     | Foderà, Simone, et al.                                                                                                                                                                                                       | https://arxiv.org/abs/2409.05475                                                                    | QRL        |
| CURRICULUM REINFORCEMENT LEARNING FOR                                                                                                                       |   2024 | arXiv                                                                                                     | nan                                                                                                                                                                                                                          | https://arxiv.org/pdf/2402.03500                                                                    | QRL        |
| QUANTUM ARCHITECTURE SEARCH UNDER HARDWARE ERROR                                                                                                            |        |                                                                                                           |                                                                                                                                                                                                                              |                                                                                                     |            |
| Fast and reliable entanglement distribution with quantum repeaters: Principles for improving protocols using reinforcement learning                         |   2024 | Physical Review Applied                                                                                   | Haldar, Stav, et al.                                                                                                                                                                                                         | https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.21.024041                        | QRL        |
| A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis                                                                                 |   2024 | arXiv                                                                                                     | Kölle, Michael, et al.                                                                                                                                                                                                       | https://arxiv.org/abs/2401.07054                                                                    | QRL        |
| Arbitrary quantum states preparation aided by deep reinforcement learning                                                                                   |   2024 | arXiv                                                                                                     | Wang, Zhao-Wei, and Zhao-Ming Wang.                                                                                                                                                                                          | https://arxiv.org/abs/2407.16368                                                                    | QRL        |
| Principles of Quantum Reinforcement Learning                                                                                                                |   2024 | Data Science And Engineering                                                                              | Pacifico, Michele. Principles of Quantum Reinforcement Learning. Diss. Politecnico di Torino, 2024.                                                                                                                          | https://webthesis.biblio.polito.it/30877/                                                           | QRL        |
| Applications of model-aware reinforcement learning in Bayesian quantum metrology                                                                            |   2024 | Physical Review A                                                                                         | Belliardo, Federico, Fabio Zoratti, and Vittorio Giovannetti.                                                                                                                                                                | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.109.062609                                   | QRL        |
| Enhancing variational quantum state diagonalization using reinforcement learning techniques                                                                 |   2024 | New Journal of Physics                                                                                    | Kundu, Akash, et al.                                                                                                                                                                                                         | https://iopscience.iop.org/article/10.1088/1367-2630/ad1b7f/meta                                    | QRL        |
| Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks                                                                                       |   2024 | arXiv                                                                                                     | Drăgan, Theodora-Augustina, et al.                                                                                                                                                                                           | https://arxiv.org/abs/2404.17499                                                                    | QRL        |
| Reinforcement learning-assisted quantum architecture search for variational quantum algorithms                                                              |   2024 | arXiv                                                                                                     | Kundu, Akash.                                                                                                                                                                                                                | https://arxiv.org/abs/2402.13754                                                                    | QRL        |
| Design and Analysis of Quantum Transfer Fractal Priority Replay and Mirdad Priority Loss Algorithms for Quantum Reinforcement Learning                      |   2024 | International Conference on Data Management, Analytics & Innovation. Singapore: Springer Nature Singapore | Palanivel, R., and P. Muthulakshmi.                                                                                                                                                                                          | https://link.springer.com/chapter/10.1007/978-981-97-3242-5_27                                      | QRL        |
| Quantum Machine Learning Architecture Search via Deep Reinforcement Learning                                                                                |   2024 | arXiv                                                                                                     | Dai, Xin, et al.                                                                                                                                                                                                             | https://arxiv.org/pdf/2407.20147                                                                    | QRL        |
| Model-based Offline Quantum Reinforcement Learning                                                                                                          |   2024 | arXiv                                                                                                     | Eisenmann, Simon, et al.                                                                                                                                                                                                     | https://arxiv.org/abs/2404.10017                                                                    | QRL        |
| A generic and robust quantum agent inspired by deep meta-reinforcement learning                                                                             |   2024 | arXiv                                                                                                     | Miao, Zibo, et al.                                                                                                                                                                                                           | https://arxiv.org/abs/2406.07225                                                                    | QRL        |
| Quantum Entropy and Reinforcement Learning for Distributed Denial of Service Attack Detection in Smart Grid                                                 |   2024 | IEEE Access                                                                                               | Said, Dhaou, et al.                                                                                                                                                                                                          | https://ieeexplore.ieee.org/abstract/document/10633715                                              | QRL        |
| Reinforcement learning-based architecture search for quantum machine learning                                                                               |   2024 | arXiv                                                                                                     | Rapp, Frederic, David A. Kreplin, and Marco Roth.                                                                                                                                                                            | https://arxiv.org/abs/2406.02717                                                                    | QRL        |
| Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures.                                                          |   2024 | arXiv                                                                                                     | Russo, Enrico, et al.                                                                                                                                                                                                        | https://arxiv.org/abs/2406.11452                                                                    | QRL        |
| Quantum reinforcement learning via policy iteration                                                                                                         |   2023 | Springer                                                                                                  | El Amine Cherrat, Iordanis Kerenidis, Anupam Prakash                                                                                                                                                                         | https://doi.org/10.1007/s42484-023-00116-1                                                          | QRL        |
| Policy gradients using variational quantum circuits                                                                                                         |   2023 | Springer                                                                                                  | André Sequeira, Luis Paulo Santos, Luis Soares Barbosa                                                                                                                                                                       | https://doi.org/10.1007/s42484-023-00101-8                                                          | QRL        |
| Robustness of quantum reinforcement learning under hardware errors                                                                                          |   2023 | Springer                                                                                                  | Andrea Skolik, Stefano Mangini, Thomas Bäck, Chiara Macchiavello & Vedran Dunjko                                                                                                                                             | https://doi.org/10.1140/epjqt/s40507-023-00166-1                                                    | QRL        |
| Offline Quantum Reinforcement Learning in a Conservative Manner                                                                                             |   2023 | Proceedings of the AAAI Conference on Artificial Intelligence                                             | Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao                                                                                                                                                                            | https://doi.org/10.1609/aaai.v37i6.25872                                                            | QRL        |
| Asynchronous training of quantum reinforcement learning                                                                                                     |   2023 | ScienceDirect                                                                                             | Samuel Yen-Chi Chen                                                                                                                                                                                                          | https://doi.org/10.1016/j.procs.2023.08.171                                                         | QRL        |
| Blockchain Based Optimized Energy Trading for E-Mobility Using Quantum Reinforcement Learning                                                               |   2023 | IEEE                                                                                                      | Manoj Kumar; Upasana Dohare; Sushil Kumar; Neeraj Kumar                                                                                                                                                                      | https://doi.org/10.1109/TVT.2022.3225524                                                            | QRL        |
| Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning                                                                            |   2023 | IEEE                                                                                                      | Eva Andrés; M. P. Cuéllar; G. Navarro                                                                                                                                                                                        | https://doi.org/10.1109/ACCESS.2023.3318173                                                         | QRL        |
| Deep reinforcement learning for quantum multiparameter estimation                                                                                           |   2023 | SPIE                                                                                                      | Valeria Cimini, Mauro Valeri, Emanuele Polino, Simone Piacentini, Francesco Ceccarelli, Giacomo Corrielli, Nicolò Spagnolo, Roberto Osellame, Fabio Sciarrino                                                                | https://doi.org/10.1117/1.AP.5.1.016005                                                             | QRL        |
| Approximate Autonomous Quantum Error Correction with Reinforcement Learning                                                                                 |   2023 | Physical Review Letters                                                                                   | Yexiong Zeng, Zheng-Yang Zhou, Enrico Rinaldi, Clemens Gneiting, and Franco Nori                                                                                                                                             | https://doi.org/10.1103/PhysRevLett.131.050601                                                      | QRL        |
| Quantum reinforcement learning                                                                                                                              |   2023 | Springer                                                                                                  | Niels M. P. Neumann, Paolo B. U. L. de Heer & Frank Phillipson                                                                                                                                                               | https://doi.org/10.1007/s11128-023-03867-9                                                          | QRL        |
| Quantum Reinforcement Learning for Quantum Architecture Search                                                                                              |   2023 | ACM                                                                                                       | Samuel Yen-Chi Chen                                                                                                                                                                                                          | https://doi.org/10.1145/3588983.3596692                                                             | QRL        |
| Quantum Deep Recurrent Reinforcement Learning                                                                                                               |   2023 | IEEE                                                                                                      | Samuel Yen-Chi Chen                                                                                                                                                                                                          | https://doi.org/10.1109/ICASSP49357.2023.10096981                                                   | QRL        |
| Differentiable Quantum Architecture Search for Quantum Reinforcement Learning                                                                               |   2023 | IEEE                                                                                                      | Yize Sun; Yunpu Ma; Volker Tresp                                                                                                                                                                                             | https://doi.org/10.1109/QCE57702.2023.10177                                                         | QRL        |
| Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation                                                                              |   2023 | IEEE                                                                                                      | Soohyun Park; Jae Pyoung Kim; Chanyoung Park; Soyi Jung; Joongheon Kim                                                                                                                                                       | https://doi.org/10.1109/MCOM.020.2300199                                                            | QRL        |
| Quantum reinforcement learning in the presence of thermal dissipation                                                                                       |   2023 | APS                                                                                                       | María Laura Olivera-Atencio, Lucas Lamata, Manuel Morillo, and Jesús Casado-Pascual                                                                                                                                          | https://doi.org/10.1103/PhysRevE.108.014128                                                         | QRL        |
| Quantum Multi-Agent Meta Reinforcement Learning                                                                                                             |   2023 | Proceedings of the AAAI Conference on Artificial Intelligence                                             | Won Joon Yun, Jihong Park, Joongheon Kim                                                                                                                                                                                     | https://doi.org/10.1609/aaai.v37i9.26313                                                            | QRL        |
| Realizing a deep reinforcement learning agent for real-time quantum feedback                                                                                |   2023 | Nature Communications                                                                                     | Kevin Reuer, Jonas Landgraf, Thomas Fösel, James O’Sullivan, Liberto Beltrán, Abdulkadir Akin, Graham J. Norris, Ants Remm, Michael Kerschbaum, Jean-Claude Besse, Florian Marquardt, Andreas Wallraff & Christopher Eichler | https://doi.org/10.1038/s41467-023-42901-3                                                          | QRL        |
| Quafu-RL: The Cloud Quantum Computers based Quantum Reinforcement Learning                                                                                  |   2023 | arXiv                                                                                                     | BAQIS Quafu Group                                                                                                                                                                                                            | https://doi.org/10.48550/arXiv.2305.17966                                                           | QRL        |
| Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret                                                         |   2023 | arXiv                                                                                                     | Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang                                                                                                                                                                  | https://doi.org/10.48550/arXiv.2302.10796                                                           | QRL        |
| Safe reinforcement learning under temporal logic with reward design and quantum action selection                                                            |   2023 | Scientific Reports                                                                                        | Mingyu Cai, Shaoping Xiao, Junchao Li & Zhen Kan                                                                                                                                                                             | https://doi.org/10.1038/s41598-023-28582-4                                                          | QRL        |
| Self-correcting quantum many-body control using reinforcement learning with tensor networks                                                                 |   2023 | Nature Machine Intelligence                                                                               | Friederike Metz & Marin Bukov                                                                                                                                                                                                | https://doi.org/10.1038/s42256-023-00687-5                                                          | QRL        |
| Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning                                              |   2023 | Paolo A Erdman, Frank Noé                                                                                 | PNAS Nexus                                                                                                                                                                                                                   | https://doi.org/10.1093/pnasnexus/pgad248                                                           | QRL        |
| A Survey on Quantum Reinforcement Learning                                                                                                                  |   2022 | arxiv                                                                                                     | Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler                                                                                                                   | https://arxiv.org/abs/2211.03464                                                                    | QRL        |
| Quantum reinforcement learning: the maze problem                                                                                                            |   2022 | Quantum Machine Intelligence                                                                              | Nicola Dalla Pozza, Lorenzo Buffoni, …Filippo Caruso                                                                                                                                                                         | https://link.springer.com/article/10.1007/s42484-022-00068-y                                        | QRL        |
| Variational quantum reinforcement learning via evolutionary optimization                                                                                    |   2022 | IOP Publishing Ltd                                                                                        | Samuel Yen-Chi Chen, Chih-Min Huang2, Chia-Wei Hsing, Hsi-Sheng Goan and Ying-Jer Kao                                                                                                                                        | https://iopscience.iop.org/article/10.1088/2632-2153/ac4559/meta                                    | QRL        |
| On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios                                                                                 |   2022 | Energy Efficiency and Energy Consumption Modelling Using Artificial Neural Networks                       | Eva Andrés, Manuel Pegalajar Cuéllar and Gabriel Navarro                                                                                                                                                                     | https://www.mdpi.com/1996-1073/15/16/6034                                                           | QRL        |
| Unentangled quantum reinforcement learning agents in the OpenAI Gym                                                                                         |   2022 | arxiv                                                                                                     | Jen-Yueh Hsiao, Yuxuan Du, Wei-Yin Chiang, Min-Hsiu Hsieh, Hsi-Sheng Goan                                                                                                                                                    | https://arxiv.org/abs/2203.14348                                                                    | QRL        |
| Model-Free Quantum Control with Reinforcement Learning                                                                                                      |   2022 | Phys. Rev. X 12                                                                                           | V. V. Sivak, A. Eickbusch, H. Liu, B. Royer, I. Tsioutsios, and M. H. Devoret                                                                                                                                                | https://journals.aps.org/prx/abstract/10.1103/PhysRevX.12.011059                                    | QRL        |
| An Approach Based on Quantum Reinforcement Learning for Navigation Problems                                                                                 |   2022 | 2022 International Conference on Data Analytics for Business and Industry (ICDABI)                        | Niyazi Furkan Bar; Hasan Yetis; Mehmet Karakose                                                                                                                                                                              | https://ieeexplore.ieee.org/abstract/document/10041570                                              | QRL        |
| Curriculum-Based Deep Reinforcement Learning for Quantum Control                                                                                            |   2022 | IEEE Transactions on Neural Networks and Learning Systems                                                 | Hailan Ma; Daoyi Dong; Steven X. Ding; Chunlin Chen                                                                                                                                                                          | https://ieeexplore.ieee.org/abstract/document/9732235                                               | QRL        |
| A quantum system control method based on enhanced reinforcement learning                                                                                    |   2022 | Data analytics and machine learning                                                                       | Wenjie Liu, Bosi Wang, …Mohammed Zidan                                                                                                                                                                                       | https://link.springer.com/article/10.1007/s00500-022-07179-5                                        | QRL        |
| Deep Reinforcement Learning for Quantum Hamiltonian Engineering                                                                                             |   2022 | Phys. Rev. Applied 18                                                                                     | Pai Peng (彭湃), Xiaoyang Huang, Chao Yin, Linta Joseph, Chandrasekhar Ramanathan, and Paola Cappellaro                                                                                                                      | https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.024033                        | QRL        |
| Parameter estimation in quantum sensing based on deep reinforcement learning                                                                                |   2022 | npj Quantum Information                                                                                   | Tailong Xiao, Jianping Fan & Guihua Zeng                                                                                                                                                                                     | https://www.nature.com/articles/s41534-021-00513-z                                                  | QRL        |
| Quantum Deep Reinforcement Learning for Robot Navigation Tasks                                                                                              |   2022 | arxiv                                                                                                     | Hans Hohenfeld, Dirk Heimann, Felix Wiebe, Frank Kirchner                                                                                                                                                                    | https://arxiv.org/abs/2202.12180                                                                    | QRL        |
| Robust optimization for quantum reinforcement learning control using partial observations                                                                   |   2022 | Phys. Rev. A 105                                                                                          | Chen Jiang, Yu Pan, Zheng-Guang Wu, Qing Gao, and Daoyi Dong                                                                                                                                                                 | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.105.062443                                   | QRL        |
| Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers                                                                                  |   2022 | ACM Transactions on Quantum Computing                                                                     | Matteo G. Pozzi, Steven J. Herbert, Akash Sengupta, Robert D. Mullins                                                                                                                                                        | https://dl.acm.org/doi/full/10.1145/3520434                                                         | QRL        |
| Quantum reinforcement learning method and application based on value function                                                                               |   2022 | IFAC-PapersOnLine                                                                                         | Yi-Pei Liu *, Qing-Shan Jia *, Xu Wang                                                                                                                                                                                       | https://www.sciencedirect.com/science/article/pii/S2405896322011508#aep-article-footnote-id1        | QRL        |
| Identifying optimal cycles in quantum thermal machines with reinforcement-learning                                                                          |   2022 | npj Quantum Information                                                                                   | Paolo A. Erdman & Frank Noé                                                                                                                                                                                                  | https://www.nature.com/articles/s41534-021-00512-0                                                  | QRL        |
| Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning                                 |   2022 | arxiv                                                                                                     | Simon Wiedemann, Daniel Hein, Steffen Udluft, Christian Mendl                                                                                                                                                                | https://arxiv.org/abs/2206.04741                                                                    | QRL        |
| Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices                              |   2022 | arxiv                                                                                                     | Theodora-Augustina Drăgan, Maureen Monnet, Christian B. Mendl, Jeanette Miriam Lorenz                                                                                                                                        | https://arxiv.org/abs/2212.07932                                                                    | QRL        |
| Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design                                                                           |   2022 | 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)                          | Won Joon Yun; Yunseok Kwak; Jae Pyoung Kim; Hyunhee Cho; Soyi Jung; Jihong Park                                                                                                                                              | https://ieeexplore.ieee.org/abstract/document/9912289                                               | QRL        |
| Efficient and robust entanglement generation with deep reinforcement learning for quantum metrology                                                         |   2022 | New Journal of Physics (NJP)                                                                              | Yuxiang Qiu, Min Zhuang, Jiahao Huang and Chaohong Lee                                                                                                                                                                       | https://iopscience.iop.org/article/10.1088/1367-2630/ac8285/meta                                    | QRL        |
| NFT-Based Intelligence Networking for Connected and Autonomous Vehicles: A Quantum Reinforcement Learning Approach                                          |   2022 | IEEE Network                                                                                              | Yuzheng Ren; Renchao Xie; F. Richard Yu; Tao Huang; Yunjie Liu                                                                                                                                                               | https://ieeexplore.ieee.org/abstract/document/9852376                                               | QRL        |
| Quantum imaginary time evolution steered by reinforcement learning                                                                                          |   2022 | Communications Physics volume                                                                             | Chenfeng Cao, Zheng An, Shi-Yao Hou, D. L. Zhou & Bei Zeng                                                                                                                                                                   | https://www.nature.com/articles/s42005-022-00837-y                                                  | QRL        |
| A tutorial on optimal control and reinforcement learning methods for quantum technologies                                                                   |   2022 | Physics Letters A                                                                                         | Luigi Giannelli a b, Sofia Sgroi d, Jonathon Brown d, Gheorghe Sorin Paraoanu e, Mauro Paternostro d, Elisabetta Paladino a c b, Giuseppe Falci                                                                              | https://www.sciencedirect.com/science/article/abs/pii/S0375960122001360                             | QRL        |
| Performance analysis of a hybrid agent for quantum-accessible reinforcement learning                                                                        |   2022 | New Journal of Physics                                                                                    | Arne Hamann3,1 and Sabine Wölk                                                                                                                                                                                               | https://iopscience.iop.org/article/10.1088/1367-2630/ac5b56/meta                                    | QRL        |
| Deep Reinforcement Learning With Reward Design for Quantum Control                                                                                          |   2022 | IEEE Transactions                                                                                         | Haixu Yu; Xudong Zhao                                                                                                                                                                                                        | https://ieeexplore.ieee.org/abstract/document/9964411                                               | QRL        |
| Reinforcement-learning generation of four-qubit entangled states                                                                                            |   2022 | Phys. Rev. Research 4                                                                                     | Sara Giordano and Miguel A. Martin-Delgado                                                                                                                                                                                   | https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.4.043056                       | QRL        |
| Quantum Reinforcement Learning—Connecting Reinforcement Learning and Quantum Computing                                                                      |   2022 | Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context                              | Leonhard Kunczik                                                                                                                                                                                                             | https://link.springer.com/chapter/10.1007/978-3-658-37616-1_4                                       | QRL        |
| Short quantum circuits in reinforcement learning policies for the vehicle routing problem                                                                   |   2022 | Phys. Rev. A 105                                                                                          | Fabio Sanches, Sean Weinberg, Takanori Ide, and Kazumitsu Kamiya                                                                                                                                                             | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.105.062403                                   | QRL        |
| A Multiagent Quantum Deep Reinforcement Learning Method for Distributed Frequency Control of Islanded Microgrids                                            |   2022 | IEEE Transactions on Control of Network Systems                                                           | Rudai Yan; Yu Wang; Yan Xu; Jiahong Dai                                                                                                                                                                                      | https://ieeexplore.ieee.org/abstract/document/9670708                                               | QRL        |

---

## 🔗 Cross-References
- [Quantum Computing Fundamentals](https://github.com/Q-brain/awesome-QAI-Papers-QComputing)  
- [Quantum Machine Learning](https://github.com/Q-brain/awesome-QAI-Papers-QML)  
- [Quantum Neural Networks and Quantum Recurrent Neural Networks](https://github.com/Q-brain/awesome-QAI-Papers-QNN-QRNN)  
- [Quantum Convolutional Neural Networks](https://github.com/Q-brain/awesome-QAI-Papers-QCNN)  
- [Quantum Reinforcement Learning](https://github.com/Q-brain/awesome-QAI-Papers-QRL)  
- [Quantum Generative Models](https://github.com/Q-brain/awesome-QAI-Papers-QGenerative)  
- [Quantum Diffusion Models](https://github.com/Q-brain/awesome-QAI-Papers-QDiffusion)  
- [Quantum Graph Learning](https://github.com/Q-brain/awesome-QAI-Papers-QGraph)  
- [Quantum Natural Language Processing](https://github.com/Q-brain/awesome-QAI-Papers-QText)  
- [Quantum Transfer Learning](https://github.com/Q-brain/awesome-QAI-Papers-QTL)

---

## 🤝 Contributions
Contributions are welcome! Please ensure that new entries include:
1. Correct metadata (title, year, authors, publisher, link)  
2. Category tag (`QRL`)  
3. Optional short summary of the contribution

---

awesome-QAI-Papers-QRL

awesome-QAI-Papers-QRL Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

awesome-QAI-Papers-QRL

awesome-QAI-Papers-QRL Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README