Wouter van Heeswijk
Wouter van Heeswijk
Assistant professor, University of Twente, Centrum Wiskunde & Informatica, DTU
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Cited by
Cited by
The delivery dispatching problem with time windows for urban consolidation centers
W van Heeswijk, M Mes, M Schutten
Transportation Science 53 (1), 203–221, 2017
An urban consolidation center in the city of Copenhagen: A simulation study
W van Heeswijk, R Larsen, A Larsen
International Journal of Sustainable Transportation 13 (9), 675-691, 2019
Why would we get attacked? An analysis of attacker's aims behind DDoS attacks
A Abhishta, W van Heeswijk, M Junger, LJM Nieuwenhuis, R Joosten
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2020
Evaluating Urban Logistics Schemes Using Agent-based Simulation
WJA van Heeswijk, MRK Mes, JMJ Schutten, WHM Zijm
Transportation Science 54 (3), 651–675, 2020
Freight consolidation in intermodal networks with reloads
WJA Van Heeswijk, MRK Mes, JMJ Schutten, WHM Zijm
Flexible Services and Manufacturing Journal 30 (3), 452-485, 2018
An agent-based simulation framework to evaluate urban logistics schemes
W Van Heeswijk, M Mes, M Schutten
Lecture Notes in Computer Science 9855, 369-383, 2016
Deep reinforcement learning in linear discrete action spaces
W van Heeswijk, H La Poutré
2020 Winter Simulation Conference (WSC), 1063-1074, 2020
Transportation Management
W van Heeswijk, M Mes, M Schutten
Operations, Logistics and Supply Chain Management, 469-491, 2019
An approximate dynamic programming approach to urban freight distribution with batch arrivals
WJA Van Heeswijk, MRK Mes, JMJ Schutten
Lecture Notes in Computer Science 9335, 61-75, 2015
Smart containers with bidding capacity: A policy gradient algorithm for semi-cooperative learning
W van Heeswijk
Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020
Comparison of manual and automated decision-making with a logistics serious game
M Mes, W van Heeswijk
Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020
Consolidation and coordination in urban freight transport
WJA van Heeswijk
University of Twente, 2017
Proximal Policy Optimization (PPO) Explained
W Van Heeswijk
Towards Data Science. Archived from the original on December 6, 2022, 2022
Strategic bidding in freight transport using deep reinforcement learning
WJA van Heeswijk
Annals of Operations Research, 1-38, 2022
Predicting truck parking occupancy using machine learning
S Slavova, JPS Piest, W van Heeswijk
Procedia computer science 201, 40-47, 2022
Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty
R Van Steenbergen, M Mes, W Van Heeswijk
Transportation Research Part C: Emerging Technologies 157, 104401, 2023
Scalability and performance of decentralized planning in flexible transport networks
W Van Heeswijk, H La Poutré
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
F Akkerman, J Luy, W van Heeswijk, M Schiffer
The Twelfth International Conference on Learning Representations, 2023
Natural Policy Gradients In Reinforcement Learning Explained
WJA van Heeswijk
arXiv preprint arXiv:2209.01820, 2022
A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking
JPS Piest, S Slavova, W van Heeswijk
2022 Enterprise Engineering Working Conference, 2022
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