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.

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Papers

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Showing 311–320 of 1718 papers

Title	Date	Tasks	Status	Score
Measuring Policy Distance for Multi-Agent Reinforcement Learning	Jan 20, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available	5
Mediated Multi-Agent Reinforcement Learning	Jun 14, 2023	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
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State	Jan 13, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Carbon Market Simulation with Adaptive Mechanism Design	Jun 12, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
MAVEN: Multi-Agent Variational Exploration	Oct 16, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	5
A New Formalism, Method and Open Issues for Zero-Shot Coordination	Jun 11, 2021	Multi-agent Reinforcement Learning	CodeCode Available	5
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?	Feb 28, 2022	Multi-agent Reinforcement Learning	CodeCode Available	5
A collaboration of multi-agent model using an interactive interface	Sep 1, 2022	Multi-agent Reinforcement Learning	CodeCode Available	5
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

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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