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 1361–1370 of 1718 papers

Title	Date	Tasks	Status	Hype
Stabilizing Q Learning Via Soft Mellowmax Operator	Dec 17, 2020	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning	Dec 17, 2020	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning	Dec 14, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information	Dec 14, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	—Unverified	0
Flatland-RL : Multi-Agent Reinforcement Learning on Trains	Dec 10, 2020	Imitation LearningMulti-agent Reinforcement Learning	—Unverified	0
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation	Dec 7, 2020	Multi-agent Reinforcement LearningStarcraft	—Unverified	0
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning	Dec 6, 2020	Board GamesDeep Reinforcement Learning	—Unverified	0
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning	Dec 2, 2020	Multi-agent Reinforcement Learning	—Unverified	0
Robust Multi-Agent Reinforcement Learning with Model Uncertainty	Dec 1, 2020	modelMulti-agent Reinforcement Learning	—Unverified	0
Learning Multi-Agent Communication through Structured Attentive Reasoning	Dec 1, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available	1

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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