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 326–350 of 1718 papers

Title	Date	Tasks	Status	Score
MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement Learning	Aug 24, 2023	3D geometryComputational chemistry	CodeCode Available	5
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning	Aug 7, 2023	ClusteringMulti-agent Reinforcement Learning	CodeCode Available	5
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?	Feb 2, 2019	BIG-bench Machine LearningMulti-agent Reinforcement Learning	CodeCode Available	5
MDPGT: Momentum-based Decentralized Policy Gradient Tracking	Dec 6, 2021	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State	Jan 13, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance	Mar 17, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning	May 30, 2025	Dimensionality Reductionfeature selection	CodeCode Available	5
MAVEN: Multi-Agent Variational Exploration	Oct 16, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	5
Measuring Policy Distance for Multi-Agent Reinforcement Learning	Jan 20, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available	5
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization	Feb 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning	Sep 29, 2018	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence	Dec 2, 2017	GPUMulti-agent Reinforcement Learning	CodeCode Available	5
Light Aircraft Game : Basic Implementation and training results analysis	Jun 17, 2025	Multi-agent Reinforcement Learning	CodeCode Available	5
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning	May 8, 2023	LEMMAMulti-agent Reinforcement Learning	CodeCode Available	5
Logic-based Reward Shaping for Multi-Agent Reinforcement Learning	Jun 17, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids	Mar 15, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Mediated Multi-Agent Reinforcement Learning	Jun 14, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning	Jan 26, 2019	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets	Feb 21, 2022	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding	Feb 14, 2025	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Learning to Gather without Communication	Feb 21, 2018	Multi-agent Reinforcement LearningPosition	CodeCode Available	5
Learning to Schedule Communication in Multi-agent Reinforcement Learning	Feb 5, 2019	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	5
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments	Feb 24, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning	Jun 17, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Learning to Share and Hide Intentions using Information Regularization	Aug 6, 2018	Multi-agent Reinforcement Learningreinforcement-learning	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