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Scheduling

Project or Job Scheduling

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Showing 1951–2000 of 3104 papers

TitleStatusHype
Reconfigurable Intelligent Surface Enabled Vehicular Communication: Joint User Scheduling and Passive Beamforming—0
Recovering AES Keys with a Deep Cold Boot Attack—0
Recurrent neural network approach for cyclic job shop scheduling problem—0
Recurrent Submodular Welfare and Matroid Blocking Bandits—0
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits—0
Recursive GNNs for Learning Precoding Policies with Size-Generalizability—0
Recursive Prediction Error Gradient-Based Algorithms and Framework to Identify PMSM Parameters Online—0
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics—0
Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling—0
Reduced-order modeling of LPV systems in the Loewner framework—0
Reducing End-to-End Latencies of Multi-Rate Cause-Effect Chains for the LET Model—0
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control—0
Compositional Transfer in Hierarchical Reinforcement Learning—0
Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model—0
Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization—0
Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation—0
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling—0
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud—0
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments—0
Reinforcement Learning for Assignment problem—0
Reinforcement Learning for Integer Programming: Learning to Cut—0
Reinforcement Learning for Location-Aware Scheduling—0
Reinforcement Learning for Optimal Control of a District Cooling Energy Plant—0
Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System—0
Reinforcement Learning for Robust Missile Autopilot Design—0
Reinforcement Learning for Sustainable Energy: A Survey—0
Reinforcement Learning for the Unit Commitment Problem—0
Reinforcement Learning in Computing and Network Convergence Orchestration—0
Reinforcement Learning in Healthcare: A Survey—0
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach—0
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning—0
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage—0
Reinventing the Utility for DERs: A Proposal for a DSO-Centric Retail Electricity Market—0
Relaxed Scheduling for Scalable Belief Propagation—0
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes—0
Reliable Decisions with Threshold Calibration—0
Reliable Extraction of Semantic Information and Rate of Innovation Estimation for Graph Signals—0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond—0
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels—0
Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitability—0
Renewable Energy Prediction using Weather Forecasts for Optimal Scheduling in HPC Systems—0
Representation of Uncertainty in Electric Energy Market Models: Pricing Implication and Formulation—0
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning—0
Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control—0
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems—0
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem—0
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