PhD theses

2020

Denis Steckelmacher, Model-Free Reinforcement Learning for Real-World RobotsDownload
Pieter Libin, Guiding the mitigation of epidemics with reinforcement learningDownload

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