Reinforcement Learning Methods for Operations Research Applications: The Order Release Problem. - Manuel Schneckenreither; Stefan Haeussler (LOD, 2018)

Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications. - Manuel Schneckenreither (CoRR, 2020)

Automated amortised resource analysis for term rewrite systems. - Georg Moser; Manuel Schneckenreither (Sci. Comput. Program., 2020)

Smart Short Term Capacity Planning: A Reinforcement Learning Approach. - Manuel Schneckenreither; Sebastian Windmueller; Stefan Haeussler (APMS (1), 2021)

Order release planning with predictive lead times: a machine learning approach. - Manuel Schneckenreither; Stefan Haeussler; Christoph Gerhold (Int. J. Prod. Res., 2021)

Average reward adjusted deep reinforcement learning for order release planning in manufacturing. - Manuel Schneckenreither; Stefan Haeussler; Juanjo Peiró (Knowl. Based Syst., 2022)

Reinforcement learning in autonomous multi-vehicle systems: A structured review. - Florian Merkle; Gregor Blossey; Stefan Haeussler; Manuel Schneckenreither (ICSCA, 2024)

Order release optimisation for time-dependent and stochastic manufacturing systems. - Hubert Missbauer; Raik Stolletz; Manuel Schneckenreither (Int. J. Prod. Res., 2024)