Multi-agent Reinforcement Learning

The target of Multi-agent Reinforcement Learning is to solve complex problems by integrating multiple agents that focus on different sub-tasks. In general, there are two types of multi-agent systems: independent and cooperative systems.

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Papers

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Showing 231–240 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management	Dec 18, 2020	energy managementManagement	CodeCode Available	1	5
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning	Jun 9, 2023	Autonomous VehiclesCollision Avoidance	CodeCode Available	1	5
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?	May 27, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning	Jun 21, 2020	FPS GamesGeneral Reinforcement Learning	CodeCode Available	1	5
Is Machine Learning Ready for Traffic Engineering Optimization?	Sep 3, 2021	BIG-bench Machine LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Cooperation and Fairness in Multi-Agent Reinforcement Learning	Oct 19, 2024	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1	5
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes	May 10, 2025	BenchmarkingGPU	CodeCode Available	1	5
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning	Oct 11, 2024	DiversityMuJoCo	CodeCode Available	1	5
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control	Mar 30, 2025	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1	5
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models	Jun 9, 2025	Multi-agent Reinforcement LearningSafety Alignment	CodeCode Available	1	5

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All datasets ParticleEnvs Cooperative Communication SMAC-Exp UAV Logistics

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MATD3	final agent reward	-14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRIMA	Median Win Rate	15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fusion-Multi-Actor-Attention-Critic	Average Reward	39	—	Unverified