PhD theses

2023

Lara Verheyen, Procedural Semantics for Human-like Language Understanding in Situated Environments

Mathieu Reymond, On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning

Hélène Plisnier, Guiding the Exploration Strategy of a Reinforcement Learning Agent

2022

2021

Sabine van der Ham, Investigating Cognitive and Functional Biases for Learning
Acoustic Categories

2020

Elias Fernández Domingos, Coordinating Human and Agent Behavior in Collective Risk Scenarios

2019

Felipe Gomez Marulanda, Automated 3D geometry segmentations for Computational Fluid Dynamics applications

2018

2016

2015

2013

2012

2011

2010