46 citations · 48 across the 3 of their papers we have counts for
3 papers
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming
Pierre Tassel, Martin Gebser, Konstantin Schekotihin
Constraint Programming (CP) is a declarative programming paradigm that allows for modeling and solving combinatorial optimization problems, such as the Job-Shop Scheduling Problem…
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning
Pierre Tassel, Benjamin Kovács, Martin Gebser +3
Semiconductor manufacturing is a notoriously complex and costly multi-step process involving a long sequence of operations on expensive and quantity-limited equipment. Recent chip…
A Reinforcement Learning Environment For Job-Shop Scheduling
Pierre Tassel, Martin Gebser, Konstantin Schekotihin
Scheduling is a fundamental task occurring in various automated systems applications, e.g., optimal schedules for machines on a job shop allow for a reduction of production costs a…