A Linear Time Algorithm for Optimal Quay Crane Scheduling. - Mathias Offerlin Herup; Gustav Christian Wichmann Thiesgaard; Jaike van Twiller; Rune Møller Jensen (ICCL, 2022)

Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning. - Jaike van Twiller; Djordje Grbic; Rune Møller Jensen (ICCL, 2023)

An Efficient Integer Programming Model for Solving the Master Planning Problem of Container Vessel Stowage. - Jaike van Twiller; Agnieszka Sivertsen; Rune Møller Jensen; Kent Høj Andersen (ICCL, 2024)

Literature survey on the container stowage planning problem. - Jaike van Twiller; Agnieszka Sivertsen; Dario Pacino; Rune Møller Jensen (Eur. J. Oper. Res., 2024)

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning. - Jaike van Twiller; Yossiri Adulyasak; Erick Delage; Djordje Grbic; Rune Møller Jensen (CoRR, 2025)

AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty. - Jaike van Twiller; Djordje Grbic; Rune Møller Jensen (CoRR, 2025)