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Scheduling

Project or Job Scheduling

Papers

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Showing 2001–2050 of 3104 papers

TitleStatusHype
Automatic Configuration for Optimal Communication Scheduling in DNN Training—0
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes—0
An Efficient Combinatorial Optimization Model Using Learning-to-Rank DistillationCode0
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks—0
LFT Representation of a Class of Nonlinear Systems: A Data-Driven Approach—0
Run-of-Mine Stockyard Recovery Scheduling and Optimisation for Multiple Reclaimers—0
DRF Codes: Deep SNR-Robust Feedback Codes—0
A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing—0
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models—0
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units—0
Masked Deep Q-Recommender for Effective Question Scheduling—0
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game—0
Adaptive Beamwidth Configuration for Millimeter Wave V2X Scheduling—0
Scheduling Servers with Stochastic Bilinear RewardsCode0
Knowledge-based optimal irrigation scheduling of agro-hydrological systems—0
LSTM-based model predictive control with discrete inputs for irrigation scheduling—0
Efficient Device Scheduling with Multi-Job Federated Learning—0
A simulation driven optimization algorithm for scheduling sorting center operations—0
Optimal Scheduling of Energy Storage for Power System with Capability of Sensing Short-term Future PV Power Production—0
A Novel Prediction Setup for Online Speed-Scaling—0
End-to-end Adaptive Distributed Training on PaddlePaddle—0
Voltage Stability Constrained Unit Commitment in High IBG-Penetrated Power Systems—0
Target Entropy Annealing for Discrete Soft Actor-Critic—0
FleetX—0
Learning-based Measurement Scheduling for Loosely-Coupled Cooperative Localization—0
Optimal activity and battery scheduling algorithm using load and solar generation forecastCode0
A network analysis of decision strategies of human experts in steel manufacturing—0
Adaptive Group Collaborative Artificial Bee Colony Algorithm—0
Scheduling to Learn In An Unsupervised Online Streaming Model—0
Reliable Decisions with Threshold Calibration—0
Fair Scheduling for Time-dependent Resources—0
Memory-efficient Patch-based Inference for Tiny Deep Learning—0
Collective discrete optimisation as judgment aggregation—0
State-of-Charge Aware EV ChargingCode0
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering—0
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning—0
Evacuation Shelter Scheduling Problem—0
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach—0
SatNet: A Benchmark for Satellite Scheduling Optimization—0
Multicrew Scheduling and Routing in Road Network Restoration Based on Deep Q-learning—0
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes—0
Solve Optimization Problems with Unknown Constraint Networks—0
Operations for Autonomous Spacecraft—0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments—0
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning ClustersCode0
A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources—0
Machine Learning Assisted Approach for Security-Constrained Unit Commitment—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
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