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 321–330 of 1718 papers

Title	Date	Tasks	Status	Score
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality	Jul 25, 2024	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	5
MAVEN: Multi-Agent Variational Exploration	Oct 16, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	5
MDPGT: Momentum-based Decentralized Policy Gradient Tracking	Dec 6, 2021	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5
Mediated Multi-Agent Reinforcement Learning	Jun 14, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning	May 14, 2024	Autonomous VehiclesManagement	CodeCode Available	5
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization	Feb 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence	Dec 2, 2017	GPUMulti-agent Reinforcement Learning	CodeCode Available	5
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning	Sep 29, 2018	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids	Mar 15, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence	Sep 8, 2023	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5

Show:10 25 50

← PrevPage 33 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