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 271–280 of 1718 papers

Title	Date	Tasks	Status	Hype
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning	May 28, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning	May 14, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
CoLight: Learning Network-level Cooperation for Traffic Signal Control	May 11, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	1
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network	Mar 2, 2019	Combinatorial OptimizationManagement	CodeCode Available	1
The StarCraft Multi-Agent Challenge	Feb 11, 2019	BenchmarkingMuJoCo	CodeCode Available	1
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning	Nov 4, 2018	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning	Oct 19, 2018	counterfactualCounterfactual Reasoning	CodeCode Available	1
Actor-Attention-Critic for Multi-Agent Reinforcement Learning	Oct 5, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning	Sep 13, 2018	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	Mar 30, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1

Show:10 25 50

← PrevPage 28 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