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 341–350 of 1718 papers

Title	Date	Tasks	Status	Score
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids	Mar 15, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Mediated Multi-Agent Reinforcement Learning	Jun 14, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning	Jan 26, 2019	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets	Feb 21, 2022	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding	Feb 14, 2025	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Learning to Gather without Communication	Feb 21, 2018	Multi-agent Reinforcement LearningPosition	CodeCode Available	5
Learning to Schedule Communication in Multi-agent Reinforcement Learning	Feb 5, 2019	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	5
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments	Feb 24, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning	Jun 17, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Learning to Share and Hide Intentions using Information Regularization	Aug 6, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5

Show:10 25 50

← PrevPage 35 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