Chuang Zhang's Projects
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
Config files for my GitHub profile.
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Lightweight version of MAPPO to help you quickly migrate to your local environment.
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
This is the official implementation of Multi-Agent PPO (MAPPO).
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
PyTorch implementation of MATD3
ιη¨εΌΊεε¦δΉ η η©Άζ‘ζΆ
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
:sparkles: A plotter for reinforcement learning (RL)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
XuanJing is a benchmark library of decision algorithms for reinforcement learning, imitation learning, multi-agent learning and planning algorithms.
XuanPolicy: A Comprehensive and Unified Deep Reinforcement Learning Library