PhD theses

2022

Simon Marynissen, Advances in Justification TheoryDownload

2021

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

Roxana Rădulescu, Decision Making in Multi-Objective Multi-Agent SystemsDownload
Timothy Verstraeten, A Multi-Agent Reinforcement Learning Approach to Wind Farm ControlDownload

2020

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

Denis Steckelmacher, Model-Free Reinforcement Learning for Real-World RobotsDownload
Isel Grau, Self-labeling Grey-Box Model: An Interpretable Semi-Supervised ClassifierDownload
Pieter Libin, Guiding the mitigation of epidemics with reinforcement learningDownload

2019

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

2018

Steven Adriaensen, On the Semi-automated Design of Reusable Heuristics with applications to hard combinatorial optimizationDownload
Paul Van Eecke, Generalisation and Specialisation Operators for Computational Construction Grammar and their Application in Evolutionary Linguistics ResearchDownload
Anna Harutyunyan, Beyond Single-Step Temporal Difference LearningDownload

2016

Kristof van Moffaert, Multi-Criteria Reinforcement Learning for Sequential Decision Making ProblemsDownload
Tim Brys, Reinforcement Learning from Heuristic InformationDownload

2015

David Catteeuw, Emergence of Honest Signaling through Learning and EvolutionDownload

2013

Katrien Beuls, Towards an agent-based tutoring system for Spanish verb conjugationDownload
Yunierkis Perez-Castillo, Computational design of novel FabH inhibitors as potential antibacterial agentsDownload
Abdel Rodriguez Abed, Continuous Action Reinforcement Learning Automata, an RL technique for controlling production machinesDownload

2012

Mihail Mihaylov, Decentralized Coordination in Multi-Agent SystemsDownload
Jonatan Taminau, Unlocking the potential of public available gene expression data for large-scale analysisDownload
Yailen Martinez, A Generic Multi-Agent Reinforcement Learning Approach for Scheduling ProblemsDownload
Nashat Abughalieh, Source and channel coding in wireless sensor networksDownload

2011

Yann-Michaël De Hauwere, Sparse Interactions in Multi-Agent Reinforcement LearningDownload

2010

Walter Colitti, Multi-layer Traffic Engineering in the New Generation Internet Based on IP/MPLS over ASON/GMPLS networksDownload
Sven Van Segbroeck, Complex dynamics in adaptive networksDownload
Peter Vrancx, Decentralized Reinforcement Learning in Markov GamesDownload