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