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 426–450 of 1718 papers

Title	Date	Tasks	Status	Score
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning	Oct 19, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots	Oct 8, 2024	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria	Sep 28, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning	May 7, 2025	ClusteringDeep Reinforcement Learning	CodeCode Available	5
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems	Jan 19, 2023	Multi-agent Reinforcement LearningNavigate	CodeCode Available	5
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery	Dec 7, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Reinforcement Learning from Hierarchical Critics	Feb 8, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Conversational AI for Positive-sum Retailing under Falsehood Control	May 1, 2022	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics	Jul 29, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Convergent Policy Optimization for Safe Reinforcement Learning	Oct 26, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning	Oct 31, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning	Aug 2, 2019	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	5
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization	Aug 13, 2023	LEMMAMuJoCo	CodeCode Available	5
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning	Sep 18, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution	Aug 9, 2022	Multi-agent Reinforcement Learning	CodeCode Available	5
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems	Apr 1, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning	Jun 2, 2023	Multi-agent Reinforcement Learning	CodeCode Available	5
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning	Mar 2, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Generalising Multi-Agent Cooperation through Task-Agnostic Communication	Mar 11, 2024	Multi-agent Reinforcement Learning	CodeCode Available	5
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning	Feb 13, 2024	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation	Jun 20, 2025	Multi-agent Reinforcement LearningSMAC	CodeCode Available	5
Gifting in multi-agent reinforcement learning	May 5, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging	Jan 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Homogeneous Learning: Self-Attention Decentralized Deep Learning	Oct 11, 2021	Deep LearningFederated Learning	CodeCode Available	5
Finding Friend and Foe in Multi-Agent Games	Jun 5, 2019	counterfactualMulti-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