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
Inequity aversion improves cooperation in intertemporal social dilemmas	Mar 23, 2018	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents	Feb 23, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Mean Field Multi-Agent Reinforcement Learning	Feb 15, 2018	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
A multi-agent reinforcement learning model of common-pool resource appropriation	Jul 20, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Lenient Multi-Agent Deep Reinforcement Learning	Jul 14, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Value-Decomposition Networks For Cooperative Multi-Agent Learning	Jun 16, 2017	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	Jun 7, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning	Feb 28, 2017	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Multi-agent Reinforcement Learning in Sequential Social Dilemmas	Feb 10, 2017	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms	Jul 21, 2025	Multi-agent Reinforcement Learning	CodeCode Available	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