Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems

arXiv:2608.30520 · cs.AI, math.OC · Submitted 2026-08-31 · Read on arXiv

cs.AI, math.OC

Submitted: 2026-08-31

Updated: 2026-08-31

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 12× in this paper · explained in 7 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Aggregation — 8× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• AUC — 5× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Admissibility — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Sources

• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
• Graph WaveNet for Deep Spatial-Temporal Graph Modeling
• Boost then Convolve: Gradient Boosting Meets Graph Neural Networks

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection