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 1471–1480 of 1718 papers

Title	Date	Tasks	Status	Hype
Incorporating Pragmatic Reasoning Communication into Emergent Language	Jun 7, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	—Unverified	0
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning	Jun 7, 2020	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1
Learning to Model Opponent Learning	Jun 6, 2020	Decision Makingmodel	CodeCode Available	1
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization	May 31, 2020	counterfactualMulti-agent Reinforcement Learning	—Unverified	0
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning	May 27, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	0
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization	May 19, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning	May 19, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning	May 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments	May 11, 2020	Autonomous VehiclesDeep Reinforcement Learning	CodeCode Available	1
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning	May 10, 2020	Image CaptioningMachine Translation	—Unverified	0

Show:10 25 50

← PrevPage 148 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