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ai-qmix

Code for "AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning"

commnet

PyTorch implementation of CommNet

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

di-engine

OpenDILab Decision AI Engine

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

em

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maven

Submission for MAVEN: Multi-Agent Variational Exploration

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

pymarl

Python Multi-Agent Reinforcement Learning framework

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

pysc2

StarCraft II Learning Environment

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-tutorial

Build your neural network easy and fast

readme

README文件语法解读，即Github Flavored Markdown语法介绍

smac

SMAC: The StarCraft Multi-Agent Challenge

starcraft

Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II