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 1651–1660 of 1718 papers

Title	Date	Tasks	Status
Multi-lingual agents through multi-headed neural networks	Nov 22, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available
Stubborn: An Environment for Evaluating Stubbornness between Agents with Aligned Incentives	Apr 24, 2023	Multi-agent Reinforcement Learning	CodeCode Available
Effects of Spectral Normalization in Multi-agent Reinforcement Learning	Dec 10, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems	Apr 1, 2024	Multi-agent Reinforcement Learning	CodeCode Available
Multiple Landmark Detection using Multi-Agent Reinforcement Learning	Jun 30, 2019	AnatomyMedical Image Analysis	CodeCode Available
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning	Feb 21, 2022	Multi-agent Reinforcement LearningStarcraft	CodeCode Available
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi	Dec 9, 2024	Multi-agent Reinforcement Learning	CodeCode Available
Gifting in multi-agent reinforcement learning	May 5, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems	Feb 6, 2024	Multi-agent Reinforcement Learning	CodeCode Available
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning	Feb 13, 2024	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available

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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