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 451–460 of 1718 papers

Title	Date	Tasks	Status	Hype
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines	Mar 8, 2024	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination	Mar 5, 2024	Multi-agent Reinforcement Learning	—Unverified	0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning	Mar 5, 2024	Federated LearningMulti-agent Reinforcement Learning	CodeCode Available	0
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation	Mar 4, 2024	DiversityMulti-agent Reinforcement Learning	—Unverified	0
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition	Mar 4, 2024	Hierarchical Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning	Mar 2, 2024	DecoderMulti-agent Reinforcement Learning	CodeCode Available	2
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning	Feb 29, 2024	Multi-agent Reinforcement LearningNavigate	CodeCode Available	0
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning	Feb 28, 2024	Action GenerationMulti-agent Reinforcement Learning	—Unverified	0
Independent Learning in Constrained Markov Potential Games	Feb 27, 2024	Multi-agent Reinforcement Learning	CodeCode Available	0
Reinforcement Learning Based Robust Volt/Var Control in Active Distribution Networks With Imprecisely Known Delay	Feb 27, 2024	Multi-agent Reinforcement 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