1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 1 cited
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…
cs.AI2023★ 1 cited
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…