Mathieu Reymond behaalde op 30 augustus 2023 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: "On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning"
Mathieu Reymond obtained on August 30, 2023 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: "On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning"
Hélène Plisnier behaalde op 18 april 2023 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: Guiding the Exploration Strategy of a Reinforcement Learning Agent
Hélène Plisnier obtained on April 18, 2023 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: Guiding the Exploration Strategy of a Reinforcement Learning Agent
Jens Nevens behaalde op 19 oktober 2022 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Representeren en leren van linguïstische structuren op het conceptuele, morfosyntactische en semantische niveau'
Jens Nevens obtained on October 19, 2022 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Representing and learning linguistic structures on the conceptual, morpho-syntactic and semantic level'
Promotors: Prof. dr. Ann Nowé, Prof. dr. Katrien Beuls, Dr. Paul Van Eecke
Simon Marynissen behaalde op 31 januari 2022 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Advances in Justification Theory'
Simon Marynissen obtained on January 31, 2022 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Advances in Justification Theory'
Promotor: Prof. dr. Marc Denecker, Prof. dr. Bart Bogaerts
Anna Sabine van der Ham behaalde op 7 september 2021 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Investigating Cognitive and Functional Biases for Learning Acoustic Categories'
Anna Sabine van der Ham obtained on September 7, 2021 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Investigating Cognitive and Functional Biases for Learning Acoustic Categories'
Roxana-Teodora Rădulescu behaalde op 3 september 2021 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Besluitvorming in systemen met meerdere agenten en objectieven: een op nut gebaseerd perspectief'
Roxana-Teodora Rădulescu obtained on September 3, 2021 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Decision Making in Multi-Objective Multi-Agent Systems - A Utility-Based Perspective'
Promotor: Prof. dr. Ann Nowé
Co-promotors: Dr. Diederik M. Roijers, Dr. Patrick Mannion
Timothy Verstraeten behaalde op 11 maart 2021 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Multi-agent reinforcement learning voor het besturen van windparken'
Timothy Verstraeten obtained on March 11, 2021 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'A Multi-Agent Reinforcement Learning Approach to Wind Farm Control'
ELIAS FERNANDEZ DOMINGOS behaalde op 17 december 2020 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Coordinating Human and Agent Behavior in Collective Risk Scenarios'
ELIAS FERNANDEZ DOMINGOS obtained on December 17, 2020 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Coordinating Human and Agent Behavior in Collective Risk Scenarios'
Promotors: Prof. dr. Tom Lenaerts, Prof. dr. Juan C. Burguillo
DENIS STECKELMACHER behaalde op 6 november 2020 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: 'Modelvrij bekrachtigingsleren voor reële wereld robots'.
DENIS STECKELMACHER obtained on November 6, 2020 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: 'Model-Free Reinforcement Learning for Real-World Robots'.
SOFIA PAPADIMITRIOU behaalde op 15 september 2020 de academische graad van DOCTOR IN DE WETENSCHAPPEN met de volgende doctorale thesis: “Naar multivariante pathogeniteitsvoorspellingen: machine-learning om ziekteveroorzakende oligogene variantcombinaties te voorspellen en te onderzoeken”.
SOFIA PAPADIMITRIOU obtained on September 15 2020 the academic degree of DOCTOR OF SCIENCES with the following doctoral thesis: “Towards multivariant pathogenicity predictions: using machine-learning to directly predict and explore disease-causing oligogenic variant combinations”.