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 1401–1425 of 1718 papers

Title	Date	Tasks	Status	Hype
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning	Oct 9, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping	Oct 6, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning	Oct 6, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play	Oct 4, 2020	Model-based Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Correcting Experience Replay for Multi-Agent Communication	Oct 2, 2020	Multi-agent Reinforcement Learning	—Unverified	0
Emergent Social Learning via Multi-agent Reinforcement Learning	Oct 1, 2020	Imitation LearningMulti-agent Reinforcement Learning	—Unverified	0
PettingZoo: Gym for Multi-Agent Reinforcement Learning	Sep 30, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	2
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning	Sep 28, 2020	counterfactualMulti-agent Reinforcement Learning	—Unverified	0
The Emergence of Individuality in Multi-Agent Reinforcement Learning	Sep 28, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks	Sep 28, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Agent Environment Cycle Games	Sep 28, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Ultra-dense Low Data Rate (UDLD) Communication in the THz	Sep 22, 2020	Multi-agent Reinforcement Learning	—Unverified	0
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control	Sep 20, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response	Sep 18, 2020	Decision MakingDisaster Response	—Unverified	0
Energy-based Surprise Minimization for Multi-Agent Value Factorization	Sep 16, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Multi-Agent Reinforcement Learning in Cournot Games	Sep 14, 2020	continuous-controlContinuous Control	—Unverified	0
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games	Sep 9, 2020	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning	Sep 9, 2020	Multi-agent Reinforcement Learningquantile regression	—Unverified	0
Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks	Sep 8, 2020	Multi-agent Reinforcement Learning	—Unverified	0
PAC Reinforcement Learning Algorithm for General-Sum Markov Games	Sep 5, 2020	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation	Sep 1, 2020	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication	Aug 21, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	—Unverified	0
BGC: Multi-Agent Group Belief with Graph Clustering	Aug 20, 2020	ClusteringGraph Clustering	—Unverified	0
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning	Aug 19, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning	Aug 18, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	0

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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