ETRI-Knowledge Sharing Plaform

Iot Devices Multi-Agent Reinforcement Learning Deep Reinforcement Learning Internet Of Thing(IoT) Video Prediction Partial Observations Recognition Method Self-Taught Traffic Simulation Beacon Interval(BI) Edge Devices Resource-Constrained Knowledge Transfer Hyper-Connected Learning-Based Training Process Novel Approach Control Policy Distributed Intelligence Agent-Based Simulation Computing Systems Computational Power Computing Power Device Control Data-Driven Distributed Multi-Agent Engineering Method High Dispersion Instantaneous Power Kl Divergence Long Horizons Multi-Robot Novel Method Number Of Layers Object-Centric Power Saving Physical Presence Response Time Redundant Data Stochastic Approach Smart Home System Training Time Traffic Congestion Access Point Digital Objects Hardware Resources Knowledge Sharing Reconstruction Ability Reward Function Real Environment Robot Manipulation Smart Traffic Signal Smart City Scene Graph Task Completion Traffic Signals Static Wireless Sensor Networks(WSNs) User-Centered Cost-Efficient Cloud Policy Connected Devices Image Feature Input Data Limited Information Machine Learning Model Compression Policy Model Policy Training Real-World Applications Collaborative Task Dimensionality Reduction Embedded System Home Iot Key Components Low Power Consumption Power-Efficient Periodic Wake Power Shortage Real-World Problems State Prediction Virtual Environment Wireless Sensor Devices Wireless Devices Wake-Up Control Autonomous Driving Average Rewards Charging Time Conventional Methods Cloud Environment Data Acquisition(DAQ) Industrial Environment Latent Variable Robot Simulator Smart Manufacturing Simulated Environment Traffic Data Virtual Reality(VR) Visual Representation Moving Window(MW) Break-Down Computer Simulation(MC and MD) Collaborative Manipulation Collaborative Environment Experience Replay Energy Harvester Energy Harvesting(EH) Graph Networks Human-Object Interaction Industrial Wireless Iot Services Intelligent Iot Iot Applications Learning Approach Learning Environment Network Resources Proposed Model Robot Manipulator Simulation Modeling Social Loafing Transfer Device Uncertain Model Pixel-Based Continuous Control Case Studies Device To Device(D2D) Edge Computing Efficient Training General Health High Dimensionality Knowledge Distillation Operation Modes Policy Network Representation Learning Traffic Signal Control Temporal Information Reconstructed Image Artificial Intelligence Techniques Analysis Of The Impact Continuous State Cloud Infrastructure Edge Cloud Empirical Investigation Learning Control Nonstationary Environment Periodic Communication Physical Devices Structured Data Simulation Results Traffic Problems Virtual Objects Power Supply