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Scheduling

Project or Job Scheduling

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Showing 2651–2675 of 3104 papers

TitleStatusHype
Compensation of Charging Station Overload via On-road Mobile Energy Storage Scheduling—0
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks—0
Application of Reinforcement Learning for 5G Scheduling Parameter Optimization—0
Recurrent neural network approach for cyclic job shop scheduling problem—0
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement LearningCode0
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT—0
Markov Decision Processes For Multi-Objective Satellite Task Planning—0
A flexible integer linear programming formulation for scheduling clinician on-call service in hospitals—0
MARTHE: Scheduling the Learning Rate Via Online HypergradientsCode0
Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying—0
A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications—0
Grant-free Non-orthogonal Multiple Access for IoT: A Survey—0
A polynomial-time scheduling approach to minimise idle energy consumption: an application to an industrial furnace—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow AlgorithmCode0
Scheduling in Wireless Networks with Spatial Reuse of Spectrum as Restless Bandits—0
Joint Cross-layer Optimization in Real-Time Networked Control Systems—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art—0
Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems—0
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning—0
Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines—0
Statistical Adaptive Stochastic Optimization—0
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model—0
Scheduling the Learning Rate Via Hypergradients: New Insights and a New Algorithm—0
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