Demonstrating Reinforcement Learning for Maintenance Scheduling in a Production Environment. - Jakob Giner; Raphael Lamprecht; Viola Gallina; Catherine Laflamme; Lennard Sielaff; Wilfried Sihn (ETFA, 2021)

Enabling Supervised Machine Learning Through Data Pooling: A Case Study with Small and Medium-Sized Enterprises in the Service Industry. - Leonhard Czarnetzki; Fabian Kainz; Fabian Lächler; Catherine Laflamme; Daniel Bachlechner (KI, 2022)

Machine Learning Methods for Health-Index Prediction in Coating Chambers. - Clemens Heistracher; Anahid N. Jalali; Jürgen Schneeweiss; Klaudia Kovacs; Catherine Laflamme; Bernhard Haslhofer (CoRR, 2022)

Optimisation of Matrix Production System Reconfiguration with Reinforcement Learning. - Leonhard Czarnetzki; Catherine Laflamme; Christoph Halbwidl; Lisa Charlotte Günther; Thomas Sobottka; Daniel Bachlechner (KI, 2023)

Learning to Drive (Efficiently) : A Feasibility Study for the Application of Reinforce Learning for Automated Powertrain Control Software Engineering. - Sven Dominka; Jörg Doppler; Henrik Smith; Teresa Litschauer; Catherine Laflamme (EIT, 2024)

Explainable reinforcement learning for powertrain control engineering. - Catherine Laflamme; Jörg Doppler; B. Palvolgyi; Sven Dominka; Zsolt János Viharos; Stefan Haeussler (Eng. Appl. Artif. Intell., 2025)