DSSE
DSSE: An environment for simulation of reinforcement learning-empowered drone swarm maritime search and rescue missions - Published in JOSS (2024)
pettingzoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
torchrl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
marlware
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
vmas
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
pymaro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
benchmarl
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
dfac
[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
marl-idr-multi-agent-reinforcement-learning-for-incentive-based-residential-demand-response
Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"
https://github.com/cn-upb/deepcomp
Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
https://github.com/openrl-lab/tizero
Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
socialgym2
SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
eqmarl
This is the repository for the paper "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels" published in ICLR 2025
routerl
RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.
sigmarl
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
agilerl
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
https://github.com/ai4co/camp
[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
https://github.com/ai4co/eph-mapf
[IROS'24] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
briscolabot
Reinforcement Learning agent that plays Briscola, a famous Italian card game
https://github.com/cptanalatriste/horna-cuevas-rally
Two deep-reinforcement learning agents that play tennis.
dfac-extended
[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
TensorGames
Computing mixed-strategy Nash Equilibria for games involving multiple players