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 281–290 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication	Oct 11, 2020	Deep Reinforcement LearningDistributed Optimization	CodeCode Available	1	5
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization	Sep 26, 2022	Multi-agent Reinforcement Learning	CodeCode Available	1	5
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Feb 16, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1	5
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems	Dec 20, 2024	Combinatorial OptimizationMulti-agent Reinforcement Learning	CodeCode Available	1	5
Multi-Step Reinforcement Learning for Single Image Super-Resolution	Jul 28, 2020	Image Super-ResolutionMulti-agent Reinforcement Learning	CodeCode Available	1	5
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization	Jul 21, 2023	ManagementMuJoCo	CodeCode Available	1	5
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit	Jun 8, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration	May 8, 2025	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning	Oct 6, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Mediated Multi-Agent Reinforcement Learning	Jun 14, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0	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