MARL-code-pytorch

This is the official implementation of Multi-Agent PPO (MAPPO).

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"

General-Purpose Reinforcement Learning

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"

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

Project on multi agent reinforcement learning applied on patrolling agents