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Scheduling

Project or Job Scheduling

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Showing 2651–2700 of 3104 papers

TitleStatusHype
SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies—0
SALR: Sharpness-aware Learning Rate Scheduler for Improved Generalization—0
Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances—0
Satellite downlink scheduling under breakpoint resume mode—0
Satellite image data downlink scheduling problem with family attribute: Model &Algorithm—0
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints—0
SatNet: A Benchmark for Satellite Scheduling Optimization—0
Saturn: Efficient Multi-Large-Model Deep Learning—0
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
Scalable Belief Propagation via Relaxed Scheduling—0
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools—0
Scalable Distributed Least Squares Algorithm for Linear Algebraic Equations via Scheduling—0
Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict—0
BanditLinQ: A Scalable Link Scheduling for Dense D2D Networks with One-Bit Feedback—0
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling—0
Scalable Overload-Aware Graph-Based Index Construction for 10-Billion-Scale Vector Similarity Search—0
Scalable Reinforcement Learning for Virtual Machine Scheduling—0
Scalable Traffic Models for Scheduling of Linear Periodic Event-Triggered Controllers—0
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators—0
SCDA: School Compatibility Decomposition Algorithm for Solving the Multi-School Bus Routing and Scheduling Problem—0
Schedule Earth Observation satellites with Deep Reinforcement Learning—0
Scheduling a Dynamic Aircraft Repair Shop with Limited Repair Resources—0
Scheduling Aerial Vehicles in an Urban Air Mobility Scheme—0
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption—0
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks—0
Scheduling and Communication Schemes for Decentralized Federated Learning—0
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning—0
Scheduling Battery-Electric Bus Charging under Stochasticity using a Receding-Horizon Approach—0
Scheduling Bipartite Tournaments to Minimize Total Travel Distance—0
Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC—0
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding—0
Adaptive Scheduling for Edge-Assisted DNN Serving—0
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model—0
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning—0
Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations—0
Scheduling for On-Board Federated Learning with Satellite Clusters—0
Scheduling for Urban Air Mobility using Safe Learning—0
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness—0
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning—0
Scheduling in Wireless Networks with Spatial Reuse of Spectrum as Restless Bandits—0
Scheduling of Flexible Manufacturing Systems Based on Place-Timed Petri Nets and Basis Reachability Graphs—0
Scheduling Flexible Non-Preemptive Loads in Smart-Grid Networks—0
Scheduling of Separable Mobile Energy Storage Systems with Mobile Generators and Fuel Tankers to Boost Distribution System Resilience—0
Scheduling Optimization of Heterogeneous Services by Resolving Conflicts—0
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning—0
Scheduling Optimization Techniques for Neural Network Training—0
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning—0
Scheduling Plans of Tasks—0
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units—0
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC—0
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