/constrained-rl-dexterous-manipulation

IJCAI 2022 1st Safe RL Workshop paper

Primary LanguagePythonMIT LicenseMIT

Citation

This repo contains code used for the following paper (arXiv):

Abhineet Jain, Jack Kolb and Harish Ravichandar (2022). Constrained Reinforcement Learning for Dexterous Manipulation. International Workshop on Safe Reinforcement Learning at the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022).

Constrained Reinforcement Learning for Dexterous Manipulation

Setup instructions

1. git clone https://github.gatech.edu/ajain448/safe-hand-manipulation
2. cd safe-hand-manipulation/mjrl/
3. Follow instructions from https://github.com/aravindr93/mjrl/tree/master/setup. Please note that the conda 
environment name changed from mjrl-env to saferl-env.
4. cd safe-hand-manipulation/mj_envs
5. pip install -e .