An Approximate Dynamic Programming Approach to Urban Freight Distribution with Batch Arrivals. - Wouter van Heeswijk; Martijn Mes; Marco Schutten (ICCL, 2015)

An Agent-Based Simulation Framework to Evaluate Urban Logistics Schemes. - Wouter van Heeswijk; Martijn Mes; Marco Schutten (ICCL, 2016)

On structure preserving sampling and approximate partitioning of graphs. - Wouter van Heeswijk; George H. L. Fletcher; Mykola Pechenizkiy (SAC, 2016)

Scalability and Performance of Decentralized Planning in Flexible Transport Networks. - Wouter van Heeswijk; Han La Poutré (SMC, 2018)

Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces. - Wouter van Heeswijk; Han La Poutré (CoRR, 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)

Smart Containers with Bidding Capacity: A Policy Gradient Algorithm for Semi-cooperative Learning. - Wouter van Heeswijk (ICCL, 2020)

Comparison of Manual and Automated Decision-Making with a Logistics Serious Game. - Martijn Mes; Wouter van Heeswijk (ICCL, 2020)

Deep Reinforcement Learning in Linear Discrete Action Spaces. - Wouter van Heeswijk; Han La Poutré (WSC, 2020)

Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant. - Wouter J. A. van Heeswijk (CoRR, 2020)

A Gentle Lecture Note on Filtrations in Reinforcement Learning. - Wouter J. A. van Heeswijk (CoRR, 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)

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)

Predicting truck parking occupancy using machine learning. - Stefani Slavova; Jean Paul Sebastian Piest; Wouter van Heeswijk (ANT/EDI40, 2022)

A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking. - Jean Paul Sebastian Piest; Stefani Slavova; Wouter van Heeswijk (Forum/CIAO!DC@EEWC, 2022)

Natural Policy Gradients In Reinforcement Learning Explained. - Wouter J. A. van Heeswijk (CoRR, 2022)

The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics. - Robert van Steenbergen; Eduardo Lalla-Ruiz; Wouter van Heeswijk; Martijn Mes (ICCL, 2023)

Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction. - Fabian Akkerman; Julius Luy; Wouter van Heeswijk; Maximilian Schiffer (CoRR, 2023)

The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs. - Robert van Steenbergen; Wouter van Heeswijk; Martijn Mes (CoRR, 2023)

Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces. - Fabian Akkerman; Julius Luy; Wouter van Heeswijk; Maximilian Schiffer (ICLR, 2024)

Towards self-organizing logistics in transportation: a literature review and typology. - Berry Gerrits; Wouter van Heeswijk; Martijn Mes (Int. Trans. Oper. Res., 2024)

The Stochastic Dynamic Postdisaster Inventory Allocation Problem with Trucks and UAVs. - R. M. van Steenbergen; Wouter J. A. van Heeswijk; Martijn R. K. Mes (Transp. Sci., 2025)

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling. - Robbert Bosch; Wouter van Heeswijk; Patricia Rogetzer; Martijn Mes (CoRR, 2025)

Strategic bidding in freight transport using deep reinforcement learning. - Wouter J. A. van Heeswijk (Ann. Oper. Res., 2025)