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

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Showing 1576–1600 of 1718 papers

Title	Date	Tasks	Status	Hype
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control	Sep 6, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control	Aug 28, 2019	Graph Neural NetworkManagement	—Unverified	0
Universal Policies to Learn Them All	Aug 24, 2019	AllMulti-agent Reinforcement Learning	CodeCode Available	0
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning	Aug 16, 2019	Lifelong learningMulti-agent Reinforcement Learning	—Unverified	0
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking	Aug 13, 2019	counterfactualDecision Making	—Unverified	0
A Review of Cooperative Multi-Agent Deep Reinforcement Learning	Aug 11, 2019	ArticlesDeep Reinforcement Learning	—Unverified	0
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning	Aug 10, 2019	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization	Aug 7, 2019	Multi-agent Reinforcement LearningReinforcement Learning	—Unverified	0
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning	Aug 6, 2019	continuous-controlContinuous Control	—Unverified	0
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning	Aug 2, 2019	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition	Jul 31, 2019	Action RecognitionGeneral Classification	—Unverified	0
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation	Jul 25, 2019	Multi-agent Reinforcement LearningReinforcement Learning	—Unverified	0
Arena: a toolkit for Multi-Agent Reinforcement Learning	Jul 20, 2019	Multi-agent Reinforcement LearningOpenAI Gym	CodeCode Available	0
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration	Jul 18, 2019	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games	Jul 11, 2019	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	0
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT	Jul 2, 2019	Decision MakingMulti-agent Reinforcement Learning	—Unverified	0
Multiple Landmark Detection using Multi-Agent Reinforcement Learning	Jun 30, 2019	AnatomyMedical Image Analysis	CodeCode Available	0
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning	Jun 11, 2019	Decision MakingDeep Reinforcement Learning	—Unverified	0
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning	Jun 5, 2019	Multi-agent Reinforcement LearningPhilosophy	—Unverified	0
Finding Friend and Foe in Multi-Agent Games	Jun 5, 2019	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	0
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning	Jun 5, 2019	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
Learning Transferable Cooperative Behavior in Multi-Agent Teams	Jun 4, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	0
Options as responses: Grounding behavioural hierarchies in multi-agent RL	Jun 4, 2019	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning	May 31, 2019	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning	May 28, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1

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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