Solving the mixed model sequencing problem with reinforcement learning and metaheuristics. - Janis Brammer; Bernhard Lutz; Dirk Neumann 001 (Comput. Ind. Eng., 2021)

Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning. - Janis Brammer; Bernhard Lutz; Dirk Neumann 001 (Eur. J. Oper. Res., 2022)

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles. - Janis Brammer; Bernhard Lutz; Dirk Neumann 001 (OR Spectr., 2022)

Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking. - Mirko Stappert; Bernhard Lutz; Janis Brammer; Dirk Neumann 001 (CoRR, 2025)