ETRI-Knowledge Sharing Plaform

Iot Devices Multi-Agent Reinforcement Learning Deep Reinforcement Learning Robot Manipulation An Experimental Study Internet Of Thing(IoT) Distributed Intelligence Simulation Results Control Problem Hyper-Connected Knowledge Transfer Resource-Constrained Edge Devices Beacon Interval(BI) Traffic Simulation Partial Observations Novel Approach Self-Taught Recognition Method Agent-Based Simulation Computing Systems Computational Power Computing Power Device Control Data-Driven Distributed Multi-Agent System Empirical Evaluation High Dispersion Instantaneous Power Multi-Robot Novel Method Number Of Layers Power Saving Physical Presence Response Time Redundant Data Smart Home System Training Time Traffic Congestion Video Prediction Access Point Digital Objects Distributed Network Environment Hardware Resources Knowledge Sharing Manipulation Performance Pre-Training Reward Function Smart Traffic Signal Smart City Task Completion Traffic Signals Static Wireless Sensor Networks(WSNs) User-Centered Cloud Policy Connected Devices Deep Learning(DL) Goal-Based Heuristic Information Input Data Model Compression Policy Model Policy Training Residual Energy Real-World Applications Collaborative Task Embedded System Home Iot Low Power Consumption Multiple Agents New Model Power-Efficient Periodic Wake Power Shortage Virtual Environment Virtual World Wireless Sensor Devices Wireless Devices Wake-Up Control Autonomous Driving Average Rewards Action Space Augmented Cognition Autonomous Iot Charging Time Conventional Methods Cloud Environment Computational Model Data Acquisition(DAQ) Energy-Efficient Energy Consumption Industrial Environment Robotic Manipulation Smart Manufacturing Semantic Memory Traffic Data Virtual Reality(VR) Video Games Visual Representation Moving Window(MW) Computer Simulation(MC and MD) Collaborative Manipulation Collaborative Environment Collaborative Robot Continuous Action Energy Harvester Energy Harvesting(EH) Human-Object Interaction Industrial Wireless Iot Services Intelligent Iot Iot Applications Learning Approach Network Resources Proposed Model Robot Control Simulation Modeling Social Loafing Trial-And-Error Transfer Device Continuous Control Case Studies Control Area Complex Task Device To Device(D2D) Edge Computing Knowledge Distillation Learning-Based Link Capacity Operation Modes Policy Network Power Control(PC) Performance Comparison Representation Learning Time Constraint Training Process Traffic Signal Control Artificial Intelligence Techniques Analysis Of The Impact Control Policy Cloud Infrastructure Efficient Communication Edge Cloud Empirical Investigation Nonstationary Environment Periodic Communication Physical Devices Policy Optimization Robot Learning Structured Data Task Allocation Traffic Problems Virtual Objects Power Supply