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 1281–1290 of 1718 papers

Title	Date	Tasks	Status	Hype
Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL	Apr 23, 2021	Multi-agent Reinforcement Learning	—Unverified	0
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning	Apr 20, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Agent-Centric Representations for Multi-Agent Reinforcement Learning	Apr 19, 2021	Inductive BiasMulti-agent Reinforcement Learning	—Unverified	0
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing	Apr 15, 2021	Distributed ComputingMulti-agent Reinforcement Learning	—Unverified	0
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning	Apr 14, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	1
Two-stage training algorithm for AI robot soccer	Apr 13, 2021	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
A coevolutionary approach to deep multi-agent reinforcement learning	Apr 12, 2021	Atari GamesDecision Making	CodeCode Available	1
Towards Resilience for Multi-Agent QD-Learning	Apr 7, 2021	AllMulti-agent Reinforcement Learning	—Unverified	0
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges	Apr 5, 2021	Decision MakingFederated 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