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

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

This is a set of useful tools.

✨ A plotter for reinforcement learning (RL)

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

A high-performance distributed training framework for Reinforcement Learning

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Python Multi-Agent Reinforcement Learning framework

A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

pytorch实现的一些MARL算法

Hands-on Deep Reinforcement Learning, published by Packt

Code for Weighted QMIX

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

Paper list of multi-agent reinforcement learning (MARL)

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

TensorFlow2.0 官方教程翻译，基本概念讲解、实战项目、TensorFlow2.0编程技巧。