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 361–370 of 1718 papers

Title	Date	Tasks	Status	Score
Learning to Gather without Communication	Feb 21, 2018	Multi-agent Reinforcement LearningPosition	CodeCode Available	5
Learning Transferable Cooperative Behavior in Multi-Agent Teams	Jun 4, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	5
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning	Sep 29, 2018	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence	Sep 8, 2023	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	Jun 4, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards	Aug 12, 2024	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	5
Learning Sparse Graphon Mean Field Games	Sep 8, 2022	Multi-agent Reinforcement Learning	CodeCode Available	5
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi	Dec 9, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning	Jan 26, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game	Jun 3, 2022	FairnessManagement	CodeCode Available	5

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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