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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.

Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Papers

Showing 51100 of 1718 papers

TitleStatusHype
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement LearningCode1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked AgentsCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
Context-aware Communication for Multi-agent Reinforcement LearningCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario GenerationCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
A Game-Theoretic Approach to Multi-Agent Trust Region OptimizationCode1
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online AdvertisingCode1
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RLCode1
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement LearningCode1
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement LearningCode1
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning ApproachCode1
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learningCode1
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
HyperMARL: Adaptive Hypernetworks for Multi-Agent RLCode1
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic RewardCode1
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural NetworkCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy RegularizationCode1
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
ALMA: Hierarchical Learning for Composite Multi-Agent TasksCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
A MARL Based Multi-Target Tracking Algorithm Under Jamming Against RadarCode1
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language ModelsCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy ManagementCode1
Neural Auto-CurriculaCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Simplified Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Collaborative Visual NavigationCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
A multi-agent reinforcement learning model of common-pool resource appropriationCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement LearningCode1
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Benchmark Results

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