Prememore
PhD student of Beijing University of Posts and Telecommunications
Beijing University of Posts and Telecommunications
Pinned Repositories
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
diverse_psro
easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
PARL
A high-performance distributed training framework for Reinforcement Learning
pipeline-psro
Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
pymarl
Python Multi-Agent Reinforcement Learning framework
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
Prememore's Repositories
Prememore/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Prememore/diverse_psro
Prememore/easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
Prememore/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Prememore/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
Prememore/PARL
A high-performance distributed training framework for Reinforcement Learning
Prememore/pipeline-psro
Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Prememore/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Prememore/pymarl
Python Multi-Agent Reinforcement Learning framework
Prememore/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
Prememore/Reinforcement_Learning_In_Two_Player_Simultaneous_Action_Games
Prememore/RL_algorithms_Pytorch
Prememore/smac
SMAC: The StarCraft Multi-Agent Challenge
Prememore/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.