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 1151–1160 of 1718 papers

Title	Date	Tasks	Status
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning	Apr 17, 2022	ManagementMulti-agent Reinforcement Learning	—Unverified
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework	Jul 12, 2022	Multi-agent Reinforcement LearningPolicy Gradient Methods	—Unverified
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks	Sep 28, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel	Nov 4, 2021	Language AcquisitionMulti-agent Reinforcement Learning	—Unverified
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis	Feb 2, 2021	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines	Sep 22, 2021	BIG-bench Machine LearningDeep Reinforcement Learning	—Unverified
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations	Oct 13, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified
Towards Resilience for Multi-Agent QD-Learning	Apr 7, 2021	AllMulti-agent Reinforcement Learning	—Unverified
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning	Feb 7, 2023	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization	May 31, 2020	counterfactualMulti-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