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 331–340 of 1718 papers

Title	Date	Tasks	Status	Score
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence	Dec 2, 2017	GPUMulti-agent Reinforcement Learning	CodeCode Available	5
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance	Mar 17, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning	May 30, 2025	Dimensionality Reductionfeature selection	CodeCode Available	5
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning	Sep 29, 2018	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
Logic-based Reward Shaping for Multi-Agent Reinforcement Learning	Jun 17, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Light Aircraft Game : Basic Implementation and training results analysis	Jun 17, 2025	Multi-agent Reinforcement Learning	CodeCode Available	5
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning	May 8, 2023	LEMMAMulti-agent Reinforcement Learning	CodeCode Available	5
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization	Feb 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Learning with Opponent-Learning Awareness	Sep 13, 2017	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	5
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding	Feb 14, 2025	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	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