2 papers
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…
cs.LG2025
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…