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 1321–1330 of 1718 papers

Title	Date	Tasks	Status	Hype
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning	Feb 15, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing	Feb 15, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning	Feb 10, 2021	continuous-controlContinuous Control	—Unverified	0
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning	Feb 9, 2021	Multi-agent Reinforcement Learning	—Unverified	0
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning	Feb 8, 2021	MisconceptionsMulti-agent Reinforcement Learning	—Unverified	0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management	Feb 6, 2021	Decision MakingManagement	—Unverified	0
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning	Feb 6, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Neural Recursive Belief States in Multi-Agent Reinforcement Learning	Feb 3, 2021	Decision MakingMulti-agent Reinforcement Learning	—Unverified	0
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis	Feb 2, 2021	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors	Feb 2, 2021	Deep Reinforcement LearningMulti-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