Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach
Hao Dai, Jiashu Wu, Yang Wang, Chengzhong Xu
Topics & Concepts
Computer scienceScalabilityPartition (number theory)Reinforcement learningKnapsack problemDistributed computingEdge deviceInferenceGame theoryTheoretical computer scienceArtificial intelligenceMathematical optimizationAlgorithmCombinatoricsMicroeconomicsDatabaseEconomicsMathematicsCloud computingOperating systemMobile Crowdsensing and CrowdsourcingIoT and Edge/Fog ComputingReinforcement Learning in Robotics