Utilizing Constraint Optimization for Industrial Machine Workload Balancing. - Benjamin Kovács; Pierre Tassel; Wolfgang Kohlenbrein; Philipp Schrott-Kostwein; Martin Gebser (CP, 2021)

Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling. - Pierre Tassel; Benjamin Kovács; Martin Gebser; Konstantin Schekotihin; Wolfgang Kohlenbrein; Philipp Schrott-Kostwein (ICAPS, 2022)

Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes. - Benjamin Kovács (IJCAI, 2022)

A Customizable Reinforcement Learning Environment for Semiconductor Fab Simulation. - Benjamin Kovács; Pierre Tassel; Martin Gebser; Georg Seidel (WSC, 2022)

Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming. - Benjamin Kovács; Pierre Tassel; Martin Gebser (GECCO, 2023)

Semiconductor Fab Scheduling With Self-Supervised And Reinforcement Learning. - Pierre Tassel; Benjamin Kovács; Martin Gebser; Konstantin Schekotihin; Patrick Stöckermann; Georg Seidel (WSC, 2023)