Awesome-Inverse-Reinforcement-Learning

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Awesome-Inverse-Reinforcement-Learning

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Literature and code for inverse reinforcement leanring research

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# Awesome-Inverse-Reinforcement-Learning

Literature and code for inverse reinforcement learning research

## Fundamental Papers

- Algorithms for inverse reinforcement learning, ICML, 2000. \[[paper](http://ai.stanford.edu/~ang/papers/icml00-irl.pdf)\]\[[code](https://github.com/yrlu/irl-imitation)\]

- Apprenticeship learning via inverse reinforcement learning, ICML, 2004.  \[[paper](http://people.eecs.berkeley.edu/~russell/classes/cs294/s11/readings/Abbeel+Ng:2004.pdf)\]

- Bayesian Inverse Reinforcement Learning, IJCAI, 2007. \[[paper](https://www.aaai.org/Papers/IJCAI/2007/IJCAI07-416.pdf)\]\[[code](https://github.com/yrlu/irl-imitation)\]

- Maximum Entropy Inverse Reinforcement Learning, AAAI, 2008. \[[paper](http://new.aaai.org/Papers/AAAI/2008/AAAI08-227.pdf)\]

## GAN & IRL

- A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models, NIPS, 2016  \[[paper](https://arxiv.org/abs/1611.03852)\]\[[code](https://github.com/hsilva664/nstep_airl)\]

- Learning Robust Rewards with Adversarial Inverse Reinforcement Learning, ICLR, 2018. \[[paper](https://arxiv.org/abs/1710.11248)\]

## Cooperative IRL
- Cooperative Inverse Reinforcement Learning, NIPS, 2016. \[[paper](https://papers.nips.cc/paper/6420-cooperative-inverse-reinforcement-learning)\]

- An Efficient, Generalized Bellman Update for Cooperative Inverse Reinforcement Learning, ICML, 2018. \[[paper](https://people.eecs.berkeley.edu/~anca/papers/efficientCIRL_ICML.pdf)\]

## Multi-agent IRL

- Multi-Agent Inverse Reinforcement Learning, ICML, 2010. \[[paper](https://www.researchgate.net/profile/Kristian_Kersting/publication/221226307_Multi-Agent_Inverse_Reinforcement_Learning/links/004635204c5c3485e4000000/Multi-Agent-Inverse-Reinforcement-Learning.pdf)\]

- Multi-agent Inverse Reinforcement Learning for Two-person
Zero-sum Games, IEEE Transactions on Games, 2017. \[[paper](https://ieeexplore.ieee.org/document/7873274)\]

- Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games, IEEE Transactions on Games, 2018. \[[paper](https://ieeexplore.ieee.org/document/7873274)\]

- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML, 2019. \[[paper](http://proceedings.mlr.press/v97/yu19e.html)\]\[[code](https://github.com/ermongroup/MA-AIRL)\]

- Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic, arXiv, 2020. \[[paper](https://arxiv.org/abs/2002.10525)\]

## IRL in POMDP Formulation
- Inverse Reinforcement Learning in Partially Observable Environments, JMLR, 2011. \[[paper](http://www.jmlr.org/papers/volume12/choi11a/choi11a.pdf)\]

- Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data, AAMAS, 2015. \[[paper](https://pdfs.semanticscholar.org/013d/4b92be0426164da8d4d3a27eb856dd1a731c.pdf)\]

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