dr.ir. W.J.A. van Heeswijk (Wouter)

Universitair docent


Engineering & Materials Science
Autonomous Agents
Dynamic Programming
Supply Chains
Business & Economics
Reinforcement Learning
Serious Games


van Heeswijk, W., & La Poutre, H. (2021). Deep reinforcement learning in linear discrete action spaces. In K-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference, WSC 2020 (pp. 1063-1074). [9384078] (Proceedings - Winter Simulation Conference; Vol. 2020). IEEE. https://doi.org/10.1109/WSC48552.2020.9384078
Mes, M. , & van Heeswijk, W. (2020). Comparison of Manual and Automated Decision-Making with a Logistics Serious Game. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 698-714). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. https://doi.org/10.1007/978-3-030-59747-4_45
van Heeswijk, W. (2020). Smart Containers with Bidding Capacity: A Policy Gradient Algorithm for Semi-Cooperative Learning. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. 52-67). (Lecture notes in computer science; Vol. 12433). Springer. https://doi.org/10.1007/978-3-030-59747-4_4
van Heeswijk, W., Larsen, R., & Larsen, A. (2019). An urban consolidation center in the city of Copenhagen: A simulation study. International journal of sustainable transportation, 13(9), 675-691. https://doi.org/10.1080/15568318.2018.1503380
van Heeswijk, W. , Mes, M. , & Schutten, M. (2019). Transportation Management. In H. Zijm, M. Klumpp, A. Regattieri, & S. Heragu (Eds.), Operations, Logistics and Supply Chain Management (pp. 469-491). (Lecture notes in logistics). Springer. https://doi.org/10.1007/978-3-319-92447-2_21



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Universiteit Twente
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