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Scheduling

Project or Job Scheduling

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Showing 2351–2400 of 3104 papers

TitleStatusHype
Probabilistic Load Forecasting Based on Adaptive Online LearningCode1
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management—0
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks—0
Reinforcement Learning for Robust Missile Autopilot Design—0
Cable Tree Wiring -- Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence ConstraintsCode0
Contract Scheduling With Predictions—0
Filtering Rules for Flow Time Minimization in a Parallel Machine Scheduling Problem—0
Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid—0
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space—0
Distributed Scheduling using Graph Neural NetworksCode1
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell—0
Using Explainable Scheduling for the Mars 2020 Rover Mission—0
Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones—0
To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints—0
Automated Large-scale Class Scheduling in MiniZincCode0
A Secure Distributed Ledger for Transactive Energy: The Electron Volt Exchange (EVE) Blockchain—0
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking—0
A Knowledge Representation Approach to Automated Mathematical Modelling—0
SALR: Sharpness-aware Learning Rate Scheduler for Improved Generalization—0
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems—0
Geometric Deep Reinforcement Learning for Dynamic DAG SchedulingCode1
Reinforcement Learning for Assignment problem—0
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Scheduling Real-time Deep Learning Services as Imprecise Computations—0
Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA—0
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters—0
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling—0
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference—0
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction—0
Abstracting the Traffic of Nonlinear Event-Triggered Control Systems—0
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem—0
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms—0
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problemsCode0
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning ApproachCode1
A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems—0
Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks—0
GalaxyTSP: A New Billion-Node Benchmark for TSP—0
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control—0
Online Learning with Vector Costs and Bandits with Knapsacks—0
Applying Graph-based Deep Learning To Realistic Network Scenarios—0
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems—0
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Modeling Human Temporal Uncertainty in Human-Agent Teams—0
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable SurrogatesCode1
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network—0
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