arXiv AI
Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions
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Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority
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arXiv Machine Learning
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TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
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Reinforcement Learning-Based Production Scheduling in an Industry-Based Coating Scenario Using the Digital Model Playground
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arXiv AI
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Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts
arXiv:2606. 01162v1 Announce Type: new Abstract: Workflow scheduling in cloud computing demands the intelligent allocation of dynamically arriving, graph-structured workflows with varying deadlines onto ever-changing virtual machine resources.
arXiv Machine Learning
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Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
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arXiv AI
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Implementing Cumulative Functions with Generalized Cumulative Constraints
arXiv:2508.01751v3 Announce Type: replace Abstract: Modeling scheduling problems with conditional time intervals and cumulative functions has become a common approach when using modern commercial con...