An ASP Multi-Shot Encoding for the Aircraft Routing and Maintenance Planning Problem. - Pierre Tassel; Martin Gebser; Mohamed Rbaia (ICLP Workshops, 2020)

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

A Multi-shot ASP Encoding for the Aircraft Routing and Maintenance Planning Problem. - Pierre Tassel; Mohamed Rbaia (JELIA, 2021)

A Reinforcement Learning Environment For Job-Shop Scheduling. - Pierre Tassel; Martin Gebser; Konstantin Schekotihin (CoRR, 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)

Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications. - Pierre Tassel (IJCAI, 2022)

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

An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming. - Pierre Tassel; Martin Gebser; Konstantin Schekotihin (ICAPS, 2023)

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

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