schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. - Constantin Waubert de Puiseau; Jannik Peters 002; Christian Dörpelkus; Tobias Meisen (CoRR, 2023)

schlably: A Python framework for deep reinforcement learning based scheduling experiments. - Constantin Waubert de Puiseau; Jannik Peters 002; Christian Dörpelkus; Hasan Tercan; Tobias Meisen (SoftwareX, 2023)

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. - Constantin Waubert de Puiseau; Christian Dörpelkus; Jannik Peters 002; Hasan Tercan; Tobias Meisen (CoRR, 2024)

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? - Annika Mütze; Sadia Ilyas; Christian Dörpelkus; Matthias Rottmann (CoRR, 2025)