2 papers
cs.LG2026
Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking
Mirko Stappert, Bernhard Lutz, Janis Brammer +1
In the paint shop problem, an unordered incoming sequence of cars assigned to different colors has to be reshuffled with the objective of minimizing the number of color changes. To…
cs.LG2025
Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research
Mirko Stappert, Bernhard Lutz, Niklas Goby +1
Reinforcement learning (RL) provides a powerful method to address problems in operations research. However, its real-world application often fails due to a lack of user acceptance…