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 281–290 of 1718 papers

Title	Date	Tasks	Status	Hype
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Mar 14, 2020	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation	Mar 19, 2025	Autonomous VehiclesImitation Learning	CodeCode Available	1
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering	Sep 20, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	1
Inequity aversion improves cooperation in intertemporal social dilemmas	Mar 23, 2018	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	1
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning	Feb 6, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models	Jul 9, 2024	Multi-agent Reinforcement Learning	CodeCode Available	1
Cooperation and Fairness in Multi-Agent Reinforcement Learning	Oct 19, 2024	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1
Information Design in Multi-Agent Reinforcement Learning	May 8, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning	Dec 1, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework	Mar 10, 2022	Data AugmentationMulti-agent Reinforcement Learning	—Unverified	0

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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