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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 101125 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
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Benchmark Results

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