ETRI-Knowledge Sharing Plaform

Iot Devices Internet Of Thing(IoT) Multi-Agent Reinforcement Learning An Experimental Study Robot Manipulation Deep Reinforcement Learning Resource-Constrained Hyper-Connected Edge Computing Knowledge Distillation Knowledge Transfer Control Problem Distributed Intelligence Simulation Results Energy Harvester Edge Devices Beacon Interval(BI) Recognition Method Partial Observations Novel Approach Self-Taught Traffic Simulation High Dispersion Agent-Based Simulation Computing Systems Computational Power Computing Power Distributed Multi-Agent System Empirical Evaluation Instantaneous Power Number Of Layers Novel Method Physical Presence Power Saving Response Time Redundant Data Smart Home System Video Prediction Training Time Traffic Congestion Device Control Access Point Hardware Resources Digital Objects Distributed Network Environment Energy Efficiency Task Completion Knowledge Sharing Manipulation Performance Reward Function Smart Traffic Signal Smart City User-Centered Traffic Signals Heuristic Information Collaborative Task Cloud Policy Connected Devices Deep Learning(DL) Input Data Model Compression Policy Model Policy Training Real-World Applications Residual Energy Social Dilemmas Wireless Sensor Devices Wake-Up Control Home Iot Embedded System IEEE 802.15.4 Low Power Consumption Multiple Agents New Model Power-Efficient Periodic Wake Power Shortage Wireless Devices Virtual Environment Virtual World Autonomous Driving Action Space Average Rewards Augmented Cognition Autonomous Iot Cloud Environment Conventional Methods Charging Time Computational Model Data Acquisition(DAQ) Energy-Efficient Energy Consumption Industrial Environment Semantic Memory Moving Window(MW) Operation Mode Robotic Manipulation Smart Manufacturing Virtual Reality(VR) Video Games Traffic Data Human-Object Interaction Collaborative Environment Collaborative Robot Continuous Action Computer Simulation(MC and MD) Energy Harvesting(EH) Industrial Wireless Iot Services Intelligent Iot Iot Applications Learning Approach Network Resources Proposed Model Robot Control Social Loafing Simulation Modeling Trial-And-Error Transfer Device Case Studies Control Area Complex Task Device To Device(D2D) Learning-Based Link Capacity Policy Network Power Control(PC) Performance Comparison Training Process Traffic Signal Control Time Constraint Wireless Sensor Networks(WSNs) Artificial Intelligence Techniques Control Policy Cloud Infrastructure Edge Cloud Efficient Communication Nonstationary Environment Physical Devices Power Supply Periodic Communication Partially Observable Markov Decision Process Policy Optimization Robot Learning Structured Data Virtual Objects Traffic Problems Task Allocation