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Showing 851–875 of 3104 papers

TitleStatusHype
Deep Reinforcement Learning for Smart Home Energy Management—0
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks—0
AIQ: Measuring Intelligence of Business AI Software—0
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information—0
Adaptive Stochastic Resource Control: A Machine Learning Approach—0
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control—0
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations—0
A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams—0
Strategic Federated Learning: Application to Smart Meter Data Clustering—0
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Demand Response Optimization MILP Framework for Microgrids with DERs—0
Demand Side Management for Homes in Smart Grids—0
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids—0
Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems—0
Budgeted Policy Learning for Task-Oriented Dialogue Systems—0
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI—0
Demystifying the MLPerf Benchmark Suite—0
Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal—0
Deploying self-supervised learning in the wild for hybrid automatic speech recognition—0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Design and Implementation of an Automated Disaster-recovery System for a Kubernetes Cluster Using LSTM—0
Formulating the Restoration of Distribution Networks as a Multiple Traveling Salesman Problem—0
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