most citedA Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs

Jonathan Hoss, Moritz Link, Noah Klarmann

Efficiently solving the Job Shop Scheduling Problem in real-world industrial applications requires policies that are both computationally lean and topologically robust. While Reinf…

cs.LG2025★ 1 cited

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints

Jonathan Hoss, Felix Schelling, Noah Klarmann

The classical Job Shop Scheduling Problem (JSSP) focuses on optimizing makespan under deterministic constraints. Real-world production environments introduce additional complexitie…