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Happy 83a6dcaa3e | 1 year ago | |
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README.md | 1 year ago | |
mujoco_agent.py | 2 years ago | |
mujoco_model.py | 2 years ago | |
requirements.txt | 1 year ago | |
train.py | 1 year ago |
Based on PARL, the TD3 algorithm of deep reinforcement learning has been reproduced, reaching the same level of indicators as the paper in Mujoco benchmarks.
Include following improvements:
TD3 in
Addressing Function Approximation Error in Actor-Critic Methods
PARL currently supports the open-source version of Mujoco provided by DeepMind, so users do not need to download binaries of Mujoco as well as install mujoco-py and get license. For more details, please visit Mujoco
# To train an agent for HalfCheetah-v4 game
python train.py
# To train for different game
python train.py --env [ENV_NAME]
PARL 是一个高性能、灵活的强化学习框架
Python C++ JavaScript Shell Markdown other
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