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RL Implementations

Awesome MIT License LICENSE

Requirements

# 创建虚拟环境
conda create -n py3.8 python=3.8

# 数据处理相关工具包
pip install numpy
pip install pandas
pip install matplotlib

#ml相关工具包
pip install torch
pip install torchsummary
pip install torchinfo
pip install scikit-learn
conda install cudnn

# 训练结果可视化工具包
pip install tensorboard
pip install wandb

# opencv相关工具包
pip install opencv-python-headless
pip install opencv-contrib-python-headless

# gym相关包
pip install gym
pip install stable_baselines3
pip install ale-py
pip install moviepy
pip install glx
conda install ffmpeg -c conda-forge

pip install autorom(install command)
AutoROM --accept-license(execute command)

# Mujoco
pip install mujoco

# isaacgym
conda create -n rlgpu python=3.7

## Nvidia Driver version
apt install nvidia-driver-525-server
conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.7 -c pytorch -c nvidia

wget https://developer.nvidia.com/isaac-gym-preview-4
tar -zxvf IsaacGym_Preview_4_Package.tar.gz
cd issacgym
pip install -e .

Related Project

Project Including Algorithms
A3C-GRU baby-a3c A3C
pytorch-a2c-ppo-acktr-gail A2C
PPO
ACKTR
GAIL
pytorch-trpo trpo modular_rl TRPO
pytorch_sac sac SAC
BCQ BCQ
CQL CQL
batch_rl Batch RL
seed_rl IMPALA
R2D2

Reference

The 37 Implementation Details of Proximal Policy Optimization

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