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 161–170 of 1718 papers

Title	Date	Tasks	Status	Hype
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search	May 19, 2022	Decision MakingImage Captioning	CodeCode Available	1
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method	Apr 26, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design	Mar 20, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment	Mar 7, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation	Feb 18, 2022	Distributed ComputingMulti-agent Reinforcement Learning	CodeCode Available	1
The Shapley Value in Machine Learning	Feb 11, 2022	BIG-bench Machine LearningData Valuation	CodeCode Available	1
Multi-Agent Path Finding with Prioritized Communication Learning	Feb 8, 2022	Multi-Agent Path FindingMulti-agent Reinforcement Learning	CodeCode Available	1
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning	Jan 12, 2022	Multi-agent Reinforcement Learningreinforcement-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