XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

implementation of MADDPG using PettingZoo and PyTorch

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

Project on multi agent reinforcement learning applied on patrolling agents

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

Repository for the Udacity Deep Reinforcement Learning Nanodegree

implementation of MADDPG using PyTorch and multiagent-particle-envs

My solution to Collaboration and Competition using MADDPG algorithm, Udacity 3rd project of Deep RL Nanodegree from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.

a deep reinforcement learning project for which two agents have to learn to collaborate to keep the ball in a game of Tennis in the game for as long as possible

Multi-Agent Reinforcement Learning: Collaboration and Competition

Multi-agent DDPG on ml-agents environment