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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
A Novel Multi-Agent System for Complex Scheduling Problems—0
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information—0
Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators—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 Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions—0
Age-of-information minimization under energy harvesting and non-stationary environment—0
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction—0
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting—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
Adaptive Group Collaborative Artificial Bee Colony Algorithm—0
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI—0
Demystifying the MLPerf Benchmark Suite—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Deploying self-supervised learning in the wild for hybrid automatic speech recognition—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Design and Implementation of an Automated Disaster-recovery System for a Kubernetes Cluster Using LSTM—0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
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