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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 201250 of 1718 papers

TitleStatusHype
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise RolloutsCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
Local Patch AutoAugment with Multi-Agent CollaborationCode1
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement LearningCode1
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight DeliveryCode1
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent GamesCode1
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction ReportCode1
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics ScenesCode1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
Scaling Multi-Agent Reinforcement Learning with Selective Parameter SharingCode1
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement LearningCode1
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement LearningCode1
Multi-Agent Reinforcement Learning with Temporal Logic SpecificationsCode1
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with TransformersCode1
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal ControlCode1
Multi-Agent Trust Region LearningCode1
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient OptimizationCode1
Cooperative Policy Learning with Pre-trained Heterogeneous Observation RepresentationsCode1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy ManagementCode1
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement LearningCode1
Learning Multi-Agent Communication through Structured Attentive ReasoningCode1
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement LearningCode1
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?Code1
Scalable Reinforcement Learning Policies for Multi-Agent ControlCode1
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural NetworkCode1
Learning a Decentralized Multi-arm Motion PlannerCode1
Game-Theoretic Multiagent Reinforcement LearningCode1
Succinct and Robust Multi-Agent Communication With Temporal Message ControlCode1
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement LearningCode1
Multi-Agent Collaboration via Reward Attribution DecompositionCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learningCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
The Emergence of Adversarial Communication in Multi-Agent Reinforcement LearningCode1
QPLEX: Duplex Dueling Multi-Agent Q-LearningCode1
Multi-Step Reinforcement Learning for Single Image Super-ResolutionCode1
Value-Decomposition Multi-Agent Actor-CriticsCode1
Off-Policy Multi-Agent Decomposed Policy GradientsCode1
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loopCode1
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement LearningCode1
Reward Machines for Cooperative Multi-Agent Reinforcement LearningCode1
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement LearningCode1
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Benchmark Results

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