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Scheduling

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Showing 2801–2850 of 3104 papers

TitleStatusHype
Dynamic Measurement Scheduling for Event Forecasting using Deep RLCode0
Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning—0
Performance prediction of data streams on high-performance architecture—0
Ethically Aligned Opportunistic Scheduling for Productive Laziness—0
Space Expansion of Feature Selection for Designing more Accurate Error Predictors—0
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)—0
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling—0
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control—0
TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control—0
Algorithms Inspired by Nature: A Survey—0
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data—0
A Two-Step Learning and Interpolation Method for Location-Based Channel Database—0
DATS: Dispersive Stable Task Scheduling in Heterogeneous Fog Networks—0
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL—0
Adversarial Bandits with Knapsacks—0
Automated Algorithm Selection: Survey and Perspectives—0
Realtime Scheduling and Power Allocation Using Deep Neural Networks—0
Argumentation for Explainable Scheduling (Full Paper with Proofs)—0
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning—0
Time-interval balancing in multi-processor scheduling of composite modular jobs (preliminary description)—0
Online Planner Selection with Graph Neural Networks and Adaptive SchedulingCode0
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning—0
Interruptible Algorithms for Multiproblem Solving—0
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training—0
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks—0
Mobility Offer Allocations in Corporate SettingsCode0
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach—0
Determinantal thinning of point processes with network learning applicationsCode0
Trajectory planning for autonomous intersection management of connected vehicles—0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning Scheduling Algorithms for Data Processing ClustersCode0
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks—0
Action Model Acquisition using LSTM—0
Layer-compensated Pruning for Resource-constrained Convolutional Neural NetworksCode0
Learning to Perform Local Rewriting for Combinatorial OptimizationCode0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: a bi-level programming approach via real-time pricing—0
TDMA in Adaptive Resonant Beam Charging for IoT Devices—0
Collaborative Inter-Terminal Transportation of Containers—0
A General Framework for Temporal Fair User Scheduling in NOMA Systems—0
A linear algorithm for reliable predictive network control—0
Learning User Preferences and Understanding Calendar Contexts for Event SchedulingCode0
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop SchedulingCode0
A real-time reactive framework for the surgical case sequencing problem—0
Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties—0
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems—0
AIQ: Measuring Intelligence of Business AI Software—0
Round-Table Group Optimization for Sequencing Problems—0
Spatial Deep Learning for Wireless SchedulingCode0
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless NetworksCode0
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