Kurt Driessens
Kurt Driessens
Associate Professor, Maastricht University
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Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43 (1), 7-52, 2001
Relational reinforcement learning: An overview
P Tadepalli, R Givan, K Driessens
Proceedings of the ICML-2004 workshop on relational reinforcement learning, 1-9, 2004
Integrating guidance into relational reinforcement learning
K Driessens, S Džeroski
Machine Learning 57 (3), 271-304, 2004
Contextual encoder–decoder network for visual saliency prediction
A Kroner, M Senden, K Driessens, R Goebel
Neural Networks 129, 261-270, 2020
Speeding up relational reinforcement learning through the use of an incremental first order decision tree learner
K Driessens, J Ramon, H Blockeel
European Conference on Machine Learning, 97-108, 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
Monte-Carlo tree search in poker using expected reward distributions
GV Broeck, K Driessens, J Ramon
Asian Conference on Machine Learning, 367-381, 2009
Relational reinforcement learning
K Driessens
ECCAI Advanced Course on Artificial Intelligence, 271-280, 2001
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, 2014
Graph kernels and gaussian processes for relational reinforcement learning
T Gärtner, K Driessens, J Ramon
International Conference on Inductive Logic Programming, 146-163, 2003
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
Learning relational options for inductive transfer in relational reinforcement learning
T Croonenborghs, K Driessens, M Bruynooghe
International Conference on Inductive Logic Programming, 88-97, 2007
Using weighted nearest neighbor to benefit from unlabeled data
K Driessens, P Reutemann, B Pfahringer, C Leschi
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 60-69, 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 (1), 91-119, 2006
Bayesian real-time dynamic programming
S Sanner, R Goetschalckx, K Driessens, G Shani
Proceedings of the 21st International Joint Conference on Artificial …, 2009
Integrating experimentation and guidance in relational reinforcement learning
K Driessens, S Dzeroski
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
ICML-2004 Workshop on Relational Reinforcement Learning, 10-14, 2004
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Artículos 1–20