OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

A parallel framework for population-based multi-agent reinforcement learning.

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

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

A framework to empower forecasting using Large Language Models (LLMs)

Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration

Based on David Silver's paper "Cooperative Pathfinding"

🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.

A collection of multi-agent reinforcement learning OpenAI gym environments

A compilation of the best multi-agent papers

A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning

Agent-based modeling in JavaScript in the browser or on the server.

an implementation of CommNet

Generation of Synthetic Populations Library