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collaq

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

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

demo

drlib

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

elegantrl

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

hello-world

just another reposity

ic3net

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

learngit

maddpg

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

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

my

parl

A high-performance distributed training framework for Reinforcement Learning

pymarl

Python Multi-Agent Reinforcement Learning framework

qmix

ray

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 hyperparameter tuning library.

rl-plotter

:sparkles: A plotter for reinforcement learning (RL)

shadowsocksr-csharp

starcraft

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

tensorflow2-zh

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

testgit

toolset

This is a set of useful tools.

torchmarl

pytorch实现的一些MARL算法

wqmix

Code for Weighted QMIX

xingtian

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