multi-agent

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

A Platform for Many-agent Reinforcement Learning

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

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

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Awesome Game AI materials of Multi-Agent Reinforcement Learning

[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

A collection of multi agent environments based on OpenAI gym.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Trajectory Planner in Multi-Agent and Dynamic Environments

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

API to run VirtualHome, a Multi-Agent Household Simulator

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!

A framework for autonomous economic agent (AEA) development

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

A Massively Parallel Large Scale Self-Play Framework

Multi-Agent Robotics Simulator

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.