Popular GitHub Repositories for Multiagent Reinforcement Learning

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Multi-Agent Reinforcement Learning with JAX

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

? gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

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

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

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

PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021

MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.

Framework for integrate BDI agents and Reinforcement Learning.

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning

Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"

deep multi agent reinforcement learning tutorial book for intermediate

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

Source code for the MARL-enabled real-time control of urban drainage system