PhD theses

2020

Denis Steckelmacher, Model-Free Reinforcement Learning for Real-World RobotsDownload

Isel Grau, Self-labeling Grey-box Model: An Interpretable Semi-supervised Classifier

Pieter Libin, Guiding the mitigation of epidemics with reinforcement learningDownload

2019

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

2018

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

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