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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1626–1650 of 1718 papers

Title	Date	Tasks	Status
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning	Oct 4, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies	May 20, 2025	Multi-agent Reinforcement Learning	CodeCode Available
Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games	Apr 5, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning	Jun 17, 2024	Multi-agent Reinforcement Learning	CodeCode Available
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management	Feb 18, 2018	Deep Reinforcement LearningManagement	CodeCode Available
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?	Dec 6, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning	Oct 25, 2024	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications	Mar 29, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
A Regularized Opponent Model with Maximum Entropy Objective	May 17, 2019	modelMulti-agent Reinforcement Learning	CodeCode Available
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	Jun 4, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning	Dec 27, 2022	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning	Jun 2, 2023	Multi-agent Reinforcement Learning	CodeCode Available
Proximal Learning With Opponent-Learning Awareness	Oct 18, 2022	Multi-agent Reinforcement Learning	CodeCode Available
Multi-Agent Reinforcement Learning with Focal Diversity Optimization	Feb 6, 2025	DiversityMulti-agent Reinforcement Learning	CodeCode Available
Toward Policy Explanations for Multi-Agent Reinforcement Learning	Apr 26, 2022	Autonomous DrivingDecision Making	CodeCode Available
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

Show:10 25 50

← PrevPage 66 of 69Next →

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