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 231–240 of 1718 papers

Title	Date	Tasks	Status	Hype
Learning a Decentralized Multi-arm Motion Planner	Nov 5, 2020	Motion PlanningMulti-agent Reinforcement Learning	CodeCode Available	1
Game-Theoretic Multiagent Reinforcement Learning	Nov 1, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Succinct and Robust Multi-Agent Communication With Temporal Message Control	Oct 27, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning	Oct 23, 2020	Collision AvoidanceDeep Reinforcement Learning	CodeCode Available	1
Multi-Agent Collaboration via Reward Attribution Decomposition	Oct 16, 2020	Dota 2Multi-agent Reinforcement Learning	CodeCode Available	1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning	Oct 15, 2020	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication	Oct 11, 2020	Deep Reinforcement LearningDistributed Optimization	CodeCode Available	1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning	Oct 9, 2020	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Energy-based Surprise Minimization for Multi-Agent Value Factorization	Sep 16, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
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

Show:10 25 50

← PrevPage 24 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