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

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Showing 1676–1700 of 1718 papers

Title	Date	Tasks	Status
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning	Dec 22, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient	Oct 10, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning	Mar 16, 2023	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning	Feb 5, 2025	Adversarial AttackMulti-agent Reinforcement Learning	CodeCode Available
Towards Fault Tolerance in Multi-Agent Reinforcement Learning	Nov 30, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Concurrent Meta Reinforcement Learning	Mar 7, 2019	Efficient ExplorationMeta-Learning	CodeCode Available
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi	Aug 20, 2023	Game of HanabiMulti-agent Reinforcement Learning	CodeCode Available
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics	Jan 21, 2025	Distributional Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition	Feb 9, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System	Mar 2, 2025	Multi-agent Reinforcement Learning	CodeCode Available
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning	Oct 14, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making	Aug 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available
Fully Independent Communication in Multi-Agent Reinforcement Learning	Jan 26, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning	Oct 19, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Self-Motivated Multi-Agent Exploration	Jan 5, 2023	Multi-agent Reinforcement LearningSMAC	CodeCode Available
Self-Organized Polynomial-Time Coordination Graphs	Dec 7, 2021	Computational EfficiencyMulti-agent Reinforcement Learning	CodeCode Available
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics	Oct 3, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available
Learning Progress Driven Multi-Agent Curriculum	May 20, 2022	Multi-agent Reinforcement LearningOpen-Ended Question Answering	CodeCode Available
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning	Dec 20, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning	May 13, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multi-Agent Reinforcement Learning	Apr 27, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet	Dec 15, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning	Dec 27, 2023	Deep Reinforcement LearningMuJoCo	CodeCode Available
Finding Friend and Foe in Multi-Agent Games	Jun 5, 2019	counterfactualMulti-agent Reinforcement Learning	CodeCode Available
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning	Aug 25, 2023	Autonomous VehiclesDisaster Response	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