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.

Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Papers

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Showing 721–730 of 1718 papers

Title	Date	Tasks	Status	Hype
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach	Apr 17, 2023	GPUMulti-agent Reinforcement Learning	—Unverified	0
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning	Apr 15, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Language Instructed Reinforcement Learning for Human-AI Coordination	Apr 13, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning	Apr 13, 2023	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning	Apr 12, 2023	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Multi-agent Policy Reciprocity with Theoretical Guarantee	Apr 12, 2023	continuous-controlContinuous Control	—Unverified	0
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics	Apr 12, 2023	Graph Neural NetworkMulti-agent Reinforcement Learning	—Unverified	0
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response	Apr 8, 2023	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need	Apr 5, 2023	AllDeep Reinforcement Learning	CodeCode Available	1
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning	Apr 4, 2023	Action AnticipationMulti-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