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 201–210 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning	Oct 23, 2020	Collision AvoidanceDeep Reinforcement Learning	CodeCode Available	1	5
N-Agent Ad Hoc Teamwork	Apr 16, 2024	Autonomous DrivingMulti-agent Reinforcement Learning	CodeCode Available	1	5
FoX: Formation-aware exploration in multi-agent reinforcement learning	Aug 22, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization	Jul 21, 2023	ManagementMuJoCo	CodeCode Available	1	5
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?	Nov 18, 2020	AllMulti-agent Reinforcement Learning	CodeCode Available	1	5
Off-Policy Multi-Agent Decomposed Policy Gradients	Jul 24, 2020	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	1	5
A coevolutionary approach to deep multi-agent reinforcement learning	Apr 12, 2021	Atari GamesDecision Making	CodeCode Available	1	5
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control	Feb 27, 2020	Deep Reinforcement LearningGraph Attention	CodeCode Available	1	5
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL	Aug 22, 2022	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1	5
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning	Jun 4, 2021	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1	5

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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