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Conference and Workshop Papers
- 2023
[c6]Benjamin Kovács
, Pierre Tassel, Martin Gebser:
Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming. GECCO 2023: 1374-1382- [c5]Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Patrick Stöckermann, Georg Seidel:
Semiconductor Fab Scheduling With Self-Supervised And Reinforcement Learning. WSC 2023: 1924-1935 - 2022
- [c4]Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Wolfgang Kohlenbrein, Philipp Schrott-Kostwein:
Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling. ICAPS 2022: 638-646 - [c3]Benjamin Kovács:
Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes. IJCAI 2022: 5857-5858 - [c2]Benjamin Kovács, Pierre Tassel, Martin Gebser, Georg Seidel:
A Customizable Reinforcement Learning Environment for Semiconductor Fab Simulation. WSC 2022: 2663-2674 - 2021
- [c1]Benjamin Kovács, Pierre Tassel, Wolfgang Kohlenbrein, Philipp Schrott-Kostwein, Martin Gebser:
Utilizing Constraint Optimization for Industrial Machine Workload Balancing. CP 2021: 36:1-36:17
Informal and Other Publications
- 2023
- [i1]Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Patrick Stöckermann, Georg Seidel:
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning. CoRR abs/2302.07162 (2023)
Coauthor Index
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