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 241–250 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
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
Collaborating with Humans without Human Data	Oct 15, 2021	Multi-agent Reinforcement Learning	CodeCode Available	1	5
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition	May 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning	Dec 17, 2020	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1	5
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network	Mar 2, 2019	Combinatorial OptimizationManagement	CodeCode Available	1	5
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning	Oct 15, 2020	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1	5
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization	Jun 12, 2021	Atari GamesMuJoCo	CodeCode Available	1	5
Learning Individually Inferred Communication for Multi-Agent Cooperation	Jun 11, 2020	Causal InferenceMulti-agent Reinforcement Learning	CodeCode Available	1	5
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning	Jul 5, 2022	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1	5
Collaborative Visual Navigation	Jul 2, 2021	Multi-agent Reinforcement LearningNavigate	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