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

pytorch>=1.0

setup/README.md

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.