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 1641–1650 of 1718 papers

Title	Date	Tasks	Status
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning	Jun 23, 2025	Multi-agent Reinforcement LearningStarcraft	CodeCode Available
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning	Aug 2, 2019	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning	Sep 18, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection	May 16, 2019	feature selectionMulti-agent Reinforcement Learning	CodeCode Available
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms	Jan 13, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging	Jan 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control	Sep 6, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Learning Sparse Graphon Mean Field Games	Sep 8, 2022	Multi-agent Reinforcement Learning	CodeCode Available
Multi-Agent Trust Region Policy Optimization	Oct 15, 2020	Multi-agent Reinforcement LearningPrivacy Preserving	CodeCode Available
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning	Oct 31, 2022	Multi-agent Reinforcement Learningreinforcement-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