Popular GitHub Repositories for Maddpg

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

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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

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"

Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

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

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

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

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

demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention Multi-Agent DDPG) and NCC-MARL (Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning).

Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoftQ for path planning of swarm of mobile robots.

Project on multi agent reinforcement learning applied on patrolling agents

Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

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

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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

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"

Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning

Multi-Agent Reinforcement Learning: Collaboration and Competition