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 1681–1690 of 1718 papers

Title	Date	Tasks	Status
Concurrent Meta Reinforcement Learning	Mar 7, 2019	Efficient ExplorationMeta-Learning	CodeCode Available
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi	Aug 20, 2023	Game of HanabiMulti-agent Reinforcement Learning	CodeCode Available
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics	Jan 21, 2025	Distributional Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition	Feb 9, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System	Mar 2, 2025	Multi-agent Reinforcement Learning	CodeCode Available
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning	Oct 14, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making	Aug 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available
Fully Independent Communication in Multi-Agent Reinforcement Learning	Jan 26, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning	Oct 19, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Self-Motivated Multi-Agent Exploration	Jan 5, 2023	Multi-agent Reinforcement LearningSMAC	CodeCode Available

Show:10 25 50

← PrevPage 169 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