| 2025 | ICAART | Environment Descriptions for Usability and Generalisation in Reinforcement Learning. | Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands |
| 2025 | ICAART | A Research Agenda for Usability and Generalisation in Reinforcement Learning. | Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands |
| 2024 | VISIGRAPP | Concept Basis Extraction for Latent Space Interpretation of Image Classifiers. | Alexandros Doumanoglou, Dimitrios Zarpalas, Kurt Driessens |
| 2018 | AAAI | Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. | Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Now |
| 2016 | ECAI | A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets. | Damien Lejeune, Kurt Driessens |
| 2016 | GECCO | A Wavelet-based Encoding for Neuroevolution. | Sjoerd van Steenkiste, Jan Koutnk, Kurt Driessens, Jrgen Schmidhuber |
| 2015 | ACML | Largest Source Subset Selection for Instance Transfer. | Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen |
| 2015 | ICTAI | A Non-parametric Conformity-Based Test for Transfer Decisions. | Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens |
| 2013 | ILP | A Direct Policy-Search Algorithm for Relational Reinforcement Learning. | Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith |
| 2012 | AAMAS | Reinforcement learning transfer via sparse coding. | Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss |
| 2011 | ICDM | Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. | Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, Joo Gama |
| 2009 | ACML | Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. | Guy Van den Broeck, Kurt Driessens, Jan Ramon |
| 2009 | IJCAI | Bayesian Real-Time Dynamic Programming. | Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani |
| 2008 | AAAI | Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. | Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls |
| 2008 | ECAI | Using Decision Trees as the Answer Networks in Temporal Difference-Networks. | Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs |
| 2008 | ECAI | Reinforcement Learning with the Use of Costly Features. | Robby Goetschalckx, Scott Sanner, Kurt Driessens |
| 2008 | ICDM | Cost-Sensitive Parsimonious Linear Regression. | Robby Goetschalckx, Kurt Driessens, Scott Sanner |
| 2008 | ICML | Non-parametric policy gradients: a unified treatment of propositional and relational domains. | Kristian Kersting, Kurt Driessens |
| 2007 | ILP | Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning. | Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe |
| 2006 | PAKDD | Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. | Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi |
| 2005 | ICML | Combining model-based and instance-based learning for first order regression. | Kurt Driessens, Saso Dzeroski |
| 2003 | ICML | Relational Instance Based Regression for Relational Reinforcement Learning. | Kurt Driessens, Jan Ramon |
| 2003 | ILP | Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. | Thomas Grtner, Kurt Driessens, Jan Ramon |
| 2002 | ICML | Integrating Experimentation and Guidance in Relational Reinforcement Learning. | Kurt Driessens, Saso Dzeroski |
| 1998 | ILP | Using ILP-Systems for Verification and Validation of Multi-agent Systems. | Nico Jacobs, Kurt Driessens, Luc De Raedt |
| 1998 | RoboCup | Inductive Verification and Validation of the KULRoT RoboCup Team. | Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt |