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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 231–240 of 1718 papers

Title	Date	Tasks	Status	Hype
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning	Jun 9, 2025	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1
Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning	Jan 4, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Revisiting the Gumbel-Softmax in MADDPG	Feb 23, 2023	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	1
Reward Machines for Cooperative Multi-Agent Reinforcement Learning	Jul 3, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers	May 10, 2023	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1
Robust Multi-Agent Reinforcement Learning with State Uncertainty	Jul 30, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding	Jul 5, 2023	Multi-Agent Path FindingMulti-agent Reinforcement Learning	CodeCode Available	1
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning	May 23, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control	Mar 30, 2025	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition	Nov 23, 2022	Contrastive LearningDiversity	CodeCode Available	1

Show:10 25 50

← PrevPage 24 of 172Next →

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