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About the developer

aravindr93
197 Stars 48 Forks Apache License 2.0 99 Commits 11 Opened issues

Description

Reinforcement learning algorithms for MuJoCo tasks

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RL for MuJoCo

This package contains implementations of various RL algorithms for continuous control tasks simulated with MuJoCo.

Installation

The main package dependencies are

MuJoCo
,
python=3.7
,
gym>=0.13
,
mujoco-py>=2.0
, and
pytorch>=1.0
. See
setup/README.md
(link) for detailed install instructions.

Bibliography

If you find the package useful, please cite the following papers. ``` @INPROCEEDINGS{Rajeswaran-NIPS-17, AUTHOR = {Aravind Rajeswaran and Kendall Lowrey and Emanuel Todorov and Sham Kakade}, TITLE = "{Towards Generalization and Simplicity in Continuous Control}", BOOKTITLE = {NIPS}, YEAR = {2017}, }

@INPROCEEDINGS{Rajeswaran-RSS-18, AUTHOR = {Aravind Rajeswaran AND Vikash Kumar AND Abhishek Gupta AND Giulia Vezzani AND John Schulman AND Emanuel Todorov AND Sergey Levine}, TITLE = "{Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations}", BOOKTITLE = {Proceedings of Robotics: Science and Systems (RSS)}, YEAR = {2018}, } ```

Credits

This package is maintained by Aravind Rajeswaran and other members of the Movement Control Lab, University of Washington Seattle.

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