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 371–380 of 1718 papers

Title	Date	Tasks	Status	Hype
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning	Jun 6, 2024	Multi-agent Reinforcement Learning	CodeCode Available	2
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning	Jun 5, 2024	Auxiliary LearningMulti-agent Reinforcement Learning	—Unverified	0
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning	Jun 4, 2024	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Multi-Agent Transfer Learning via Temporal Contrastive Learning	Jun 3, 2024	Contrastive LearningMulti-agent Reinforcement Learning	—Unverified	0
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy	Jun 3, 2024	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles	May 31, 2024	Multi-agent Reinforcement Learning	—Unverified	0
Safe Multi-agent Reinforcement Learning with Natural Language Constraints	May 30, 2024	Autonomous VehiclesMulti-agent Reinforcement Learning	—Unverified	0
Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learning	May 29, 2024	Multi-agent Reinforcement Learning	CodeCode Available	0
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning	May 28, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving	May 28, 2024	Autonomous DrivingBilevel Optimization	CodeCode Available	2

Show:10 25 50

← PrevPage 38 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