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 1531–1540 of 1718 papers

Title	Date	Tasks	Status
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning	Jan 26, 2025	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas	Feb 28, 2023	Multi-agent Reinforcement Learning	CodeCode Available
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning	Jul 1, 2024	Deep Reinforcement LearningEdge-computing	CodeCode Available
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems	Jan 19, 2023	Multi-agent Reinforcement LearningNavigate	CodeCode Available
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning	Dec 22, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning	Oct 12, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution	Dec 9, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning	Feb 6, 2025	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Deep Coordination Graphs	Sep 27, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning	Jan 26, 2019	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available

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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