SOTAVerified

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

Showing 51100 of 1718 papers

TitleStatusHype
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario GenerationCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
An Empirical Study on Google Research Football Multi-agent ScenariosCode1
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement LearningCode1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked AgentsCode1
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RLCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learningCode1
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online AdvertisingCode1
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement LearningCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic RewardCode1
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement LearningCode1
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy RegularizationCode1
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial ExplorationCode1
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning ApproachCode1
HyperMARL: Adaptive Hypernetworks for Multi-Agent RLCode1
Neural Auto-CurriculaCode1
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural NetworkCode1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
A MARL Based Multi-Target Tracking Algorithm Under Jamming Against RadarCode1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement LearningCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement LearningCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement LearningCode1
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level OptimizationCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
ALMA: Hierarchical Learning for Composite Multi-Agent TasksCode1
Cooperative Policy Learning with Pre-trained Heterogeneous Observation RepresentationsCode1
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight DeliveryCode1
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement LearningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Cooperation and Fairness in Multi-Agent Reinforcement LearningCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Simplified Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NCode1
A multi-agent reinforcement learning model of common-pool resource appropriationCode1
Collaborative Visual NavigationCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39Unverified