2 papers
cs.LG2026
PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem
Mateo Toro Diz, Jonathan Hoss, Noah Klarmann
The Job Shop Scheduling Problem (JSSP) is a fundamental combinatorial optimization problem in industrial optimization. This work introduces Pretrained Offline Reinforcement Learnin…
cs.CV2026
Measurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization
Mateo Toro Diz, Jonathan Hoss, Noah Klarmann
Indoor vision-based localization systems are affected by detection noise, occlusions, and limited camera coverage, leading to uncertainty at multiple stages of the pipeline. While…