Patrick Stöckermann

According to our database, Patrick Stöckermann authored at least 4 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing.

Alessandro Immordino, Patrick Stöckermann, Niels Hayen, Thomas Altenmüller, Gian Antonio Susto, Martin Gebser, Konstantin Schekotihin, Georg Seidel

J. Intell. Manuf., May, 2026

2025

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets.

Patrick Stöckermann, Henning Südfeld, Alessandro Immordino, Thomas Altenmüller, Marc Wegmann, Martin Gebser, Konstantin Schekotihin, Georg Seidel, Chew Wye Chan, Feifei Zhang

CoRR, May, 2025

2023

Semiconductor Fab Scheduling With Self-Supervised And Reinforcement Learning.

Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Patrick Stöckermann, Georg Seidel

Proceedings of the Winter Simulation Conference, 2023

Dispatching in Real Frontend Fabs With Industrial Grade Discrete-Event Simulations by Deep Reinforcement Learning with Evolution Strategies.

Patrick Stöckermann, Alessandro Immordino, Thomas Altenmüller, Georg Seidel, Martin Gebser, Pierre Tassel, Chew Wye Chan, Feifei Zhang

Proceedings of the Winter Simulation Conference, 2023