Driessens, Kurt

14 publications

AAAI 2018 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 Nowé

MLJ 2017 Introduction to the Special Issue Dedicated to the Journal Track of ECML PKDD 2017 Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou

ACML 2015 Largest Source Subset Selection for Instance Transfer Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen

ECML-PKDD 2013 Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss

IJCAI 2009 Bayesian Real-Time Dynamic Programming Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani

AAAI 2008 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

ICML 2008 Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains Kristian Kersting, Kurt Driessens

MLJ 2006 Graph Kernels and Gaussian Processes for Relational Reinforcement Learning Kurt Driessens, Jan Ramon, Thomas Gärtner

ICML 2005 Combining Model-Based and Instance-Based Learning for First Order Regression Kurt Driessens, Saso Dzeroski

MLJ 2004 Integrating Guidance into Relational Reinforcement Learning Kurt Driessens, Saso Dzeroski

ICML 2003 Relational Instance Based Regression for Relational Reinforcement Learning Kurt Driessens, Jan Ramon

ICML 2002 Integrating Experimentation and Guidance in Relational Reinforcement Learning Kurt Driessens, Saso Dzeroski

MLJ 2001 Relational Reinforcement Learning Saso Dzeroski, Luc De Raedt, Kurt Driessens

ECML-PKDD 2001 Speeding up Relational Reinforcement Learning Through the Use of an Incremental First Order Decision Tree Learner Kurt Driessens, Jan Ramon, Hendrik Blockeel