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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 101–150 of 1718 papers

TitleStatusHype
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Hierarchical Multi-Agent Reinforcement Learning for Air Combat ManeuveringCode1
E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement LearningCode1
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
Robust Multi-Agent Reinforcement Learning with State UncertaintyCode1
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value RegularizationCode1
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path FindingCode1
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learningCode1
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARLCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level OptimizationCode1
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory ManagementCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle PursuitCode1
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT NetworksCode1
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement LearningCode1
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
An Empirical Study on Google Research Football Multi-agent ScenariosCode1
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackersCode1
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement LearningCode1
Information Design in Multi-Agent Reinforcement LearningCode1
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent LearningCode1
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement LearningCode1
Language Instructed Reinforcement Learning for Human-AI CoordinationCode1
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand ResponseCode1
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
marl-jax: Multi-Agent Reinforcement Leaning FrameworkCode1
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape EstimationCode1
SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human SpacesCode1
Revisiting the Gumbel-Softmax in MADDPGCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are BiasedCode1
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning ProblemsCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative ExplorationCode1
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-WorkersCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning ApproachCode1
Scalable Multi-Agent Reinforcement Learning through Intelligent Information AggregationCode1
Multi-Agent Reinforcement Learning for Adaptive Mesh RefinementCode1
Teal: Learning-Accelerated Optimization of WAN Traffic EngineeringCode1
Solving Continuous Control via Q-learningCode1
Phantom -- A RL-driven multi-agent framework to model complex systemsCode1
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic RewardCode1
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy FactorizationCode1
Towards a Standardised Performance Evaluation Protocol for Cooperative MARLCode1
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RLCode1
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14—Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15—Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39—Unverified