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 421–430 of 1718 papers

Title	Date	Tasks	Status	Score
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning	Oct 19, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots	Oct 8, 2024	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Reinforcement Learning from Hierarchical Critics	Feb 8, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria	Sep 28, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning	May 7, 2025	ClusteringDeep Reinforcement Learning	CodeCode Available	5
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning	Oct 24, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Interpretable Emergent Language Using Inter-Agent Transformers	May 4, 2025	Multi-agent Reinforcement Learning	CodeCode Available	5
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning	Aug 2, 2019	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning	Oct 11, 2022	Anomaly DetectionMulti-agent Reinforcement Learning	CodeCode Available	5
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization	Aug 13, 2023	LEMMAMuJoCo	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