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 1111–1120 of 1718 papers

Title	Date	Tasks	Status
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning	Jun 20, 2022	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?	Jun 20, 2022	AllMulti-agent Reinforcement Learning	—Unverified
Logic-based Reward Shaping for Multi-Agent Reinforcement Learning	Jun 17, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning	Jun 15, 2022	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Universally Expressive Communication in Multi-Agent Reinforcement Learning	Jun 14, 2022	Graph LearningMulti-agent Reinforcement Learning	CodeCode Available
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs	Jun 13, 2022	Multi-agent Reinforcement Learning	—Unverified
Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic	Jun 12, 2022	Multi-agent Reinforcement LearningPrivacy Preserving	—Unverified
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy	Jun 10, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified
Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling	Jun 8, 2022	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning	Jun 6, 2022	Contrastive LearningMulti-agent Reinforcement Learning	—Unverified

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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