Kurt Driessens
Kurt Driessens
Associate Professor, Maastricht University
Verified email at - Homepage
Cited by
Cited by
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43, 7-52, 2001
Contextual encoder–decoder network for visual saliency prediction
A Kroner, M Senden, K Driessens, R Goebel
Neural Networks 129, 261-270, 2020
Integrating guidance into relational reinforcement learning
K Driessens, S Džeroski
Machine Learning 57, 271-304, 2004
Relational reinforcement learning: An overview
P Tadepalli, R Givan, K Driessens, P Tadepalli, R Givan
Proceedings of the ICML-2004 workshop on relational reinforcement learning, 1-9, 2004
Speeding up relational reinforcement learning through the use of an incremental first order decision tree learner
K Driessens, J Ramon, H Blockeel
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
Transfer learning in reinforcement learning problems through partial policy recycling
J Ramon, K Driessens, T Croonenborghs
European conference on machine learning, 699-707, 2007
Relational instance based regression for relational reinforcement learning
K Driessens, J Ramon
Proceedings of the 20th international conference on machine learning (icml …, 2003
An automated measure of mdp similarity for transfer in reinforcement learning
HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ...
Workshops at the twenty-eighth AAAI conference on artificial intelligence 1, 2014
Monte-Carlo tree search in poker using expected reward distributions
G Van den Broeck, K Driessens, J Ramon
Advances in Machine Learning: First Asian Conference on Machine Learning …, 2009
Relational reinforcement learning
K Driessens
Multi-Agent Systems and Applications: 9th ECCAI Advanced Course, ACAI 2001 …, 2001
Non-parametric policy gradients: A unified treatment of propositional and relational domains
K Kersting, K Driessens
Proceedings of the 25th international conference on Machine learning, 456-463, 2008
Graph kernels and gaussian processes for relational reinforcement learning
T Gärtner, K Driessens, J Ramon
Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged …, 2003
Learning relational options for inductive transfer in relational reinforcement learning
T Croonenborghs, K Driessens, M Bruynooghe
Inductive Logic Programming: 17th International Conference, ILP 2007 …, 2008
Using weighted nearest neighbor to benefit from unlabeled data
K Driessens, P Reutemann, B Pfahringer, C Leschi
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006
Reinforcement learning transfer via sparse coding
HB Ammar, K Tuyls, ME Taylor, K Driessens, G Weiss
Proceedings of the 11th international conference on autonomous agents and …, 2012
Graph kernels and Gaussian processes for relational reinforcement learning
K Driessens, J Ramon, T Gärtner
Machine Learning 64, 91-119, 2006
Bayesian real-time dynamic programming
S Sanner, R Goetschalckx, K Driessens, G Shani, C Boutilier
Proceedings of the 21st International Joint Conference on Artificial …, 2009
Integrating experimentation and guidance in relational reinforcement learning
K Driessens, S Dzeroski, C Sammut, A Hoffmann
Proceedings of the nineteenth international conference on machine learning …, 2002
Factored four way conditional restricted boltzmann machines for activity recognition
DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls
Pattern Recognition Letters 66, 100-108, 2015
On the numeric stability of gaussian processes regression for relational reinforcement learning
J Ramon, K Driessens, P Tadepalli, R Givan
ICML-2004 Workshop on Relational Reinforcement Learning, 10-14, 2004
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