Wouter van Heeswijk

According to our database, Wouter van Heeswijk authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards self-organizing logistics in transportation: a literature review and typology.

Berry Gerrits, Wouter van Heeswijk, Martijn Mes

Int. Trans. Oper. Res., May, 2024

2023

The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs.

Robert van Steenbergen, Wouter van Heeswijk, Martijn Mes

CoRR, 2023

Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction.

Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

CoRR, 2023

The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics.

Robert van Steenbergen, Eduardo Lalla-Ruiz, Wouter van Heeswijk, Martijn Mes

Proceedings of the Computational Logistics - 14th International Conference, 2023

2022

Natural Policy Gradients In Reinforcement Learning Explained.

Wouter J. A. van Heeswijk

CoRR, 2022

A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking.

Jean Paul Sebastian Piest, Stefani Slavova, Wouter van Heeswijk

Proceedings of the 22nd CIAO! Doctoral Consortium, 2022

Predicting truck parking occupancy using machine learning.

Stefani Slavova, Jean Paul Sebastian Piest, Wouter van Heeswijk

Proceedings of the 13th International Conference on Ambient Systems, 2022

2021

Strategic bidding in freight transport using deep reinforcement learning.

Wouter van Heeswijk

CoRR, 2021

2020

Evaluating Urban Logistics Schemes Using Agent-based Simulation.

Wouter van Heeswijk, Martijn R. K. Mes, J. M. J. Schutten, W. H. M. Zijm

Transp. Sci., 2020

Why would we get attacked? An analysis of attacker's aims behind DDoS attacks.

Abhishta Abhishta, Wouter van Heeswijk, Marianne Junger, Lambert J. M. Nieuwenhuis, Reinoud Joosten

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020

A Gentle Lecture Note on Filtrations in Reinforcement Learning.

Wouter J. A. van Heeswijk

CoRR, 2020

Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant.

Wouter J. A. van Heeswijk

CoRR, 2020

Deep Reinforcement Learning in Linear Discrete Action Spaces.

Wouter van Heeswijk, Han La Poutré

Proceedings of the Winter Simulation Conference, 2020

Comparison of Manual and Automated Decision-Making with a Logistics Serious Game.

Martijn Mes, Wouter van Heeswijk

Proceedings of the Computational Logistics - 11th International Conference, 2020

Smart Containers with Bidding Capacity: A Policy Gradient Algorithm for Semi-cooperative Learning.

Wouter van Heeswijk

Proceedings of the Computational Logistics - 11th International Conference, 2020

2019

The Delivery Dispatching Problem with Time Windows for Urban Consolidation Centers.

Wouter J. A. van Heeswijk, Martijn R. K. Mes, J. M. J. Schutten

Transp. Sci., 2019

Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces.

Wouter van Heeswijk, Han La Poutré

CoRR, 2019

2018

Scalability and Performance of Decentralized Planning in Flexible Transport Networks.

Wouter van Heeswijk, Han La Poutré

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016

On structure preserving sampling and approximate partitioning of graphs.

Wouter van Heeswijk, George H. L. Fletcher, Mykola Pechenizkiy

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

An Agent-Based Simulation Framework to Evaluate Urban Logistics Schemes.

Wouter van Heeswijk, Martijn Mes, Marco Schutten

Proceedings of the Computational Logistics - 7th International Conference, 2016

2015

An Approximate Dynamic Programming Approach to Urban Freight Distribution with Batch Arrivals.

Wouter van Heeswijk, Martijn Mes, Marco Schutten

Proceedings of the Computational Logistics - 6th International Conference, 2015