Multi-Hug-RL

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(TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation

Multi-Hug-RL 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Multi-Hug RL

This repo is the implementation of the following paper:

**Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation**
<br> [Jingda Wu](https://scholar.google.com/citations?user=icu-ZFAAAAAJ&hl=en), [Yanxin Zhou](https://www.linkedin.com/in/yanxin-zhou-91b3a51a5?originalSubdomain=sg), [Haohan Yang](https://scholar.google.com/citations?user=KmKMahwAAAAJ&hl=en), [Zhiyu Huang](https://scholar.google.com/citations?user=aLZEVCsAAAAJ&hl=en), [Chen Lv](https://scholar.google.com/citations?user=UKVs2CEAAAAJ&hl=en) 
<br> [AutoMan Research Lab, Nanyang Technological University](https://lvchen.wixsite.com/automan)
<br> **[[Preprint]](https://www.researchgate.net/publication/373907062_Human-Guided_Reinforcement_Learning_With_Sim-to-Real_Transfer_for_Autonomous_Navigation)**     **[[Paper]](https://ieeexplore.ieee.org/document/10250993)**      **[[Project Website]](https://wujingda.github.io/Multi-Hug-RL/)**

## Note
The code of this study will be released soon.

## Reference
If you find this repo to be useful in your research, please consider citing our work
```
@ARTICLE{Wu2023Human,
  author={Wu, Jingda and Zhou, Yanxin and Yang, Haohan and Huang, Zhiyu and and Lv, Chen},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation}, 
  year={2023},
  doi={10.1109/TPAMI.2023.3314762}}

Multi-Hug-RL

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