| Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1), 7-52, 2001 | 459 | 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 | 150 | 2004 |
| Integrating guidance into relational reinforcement learning K Driessens, S Džeroski Machine Learning 57 (3), 271-304, 2004 | 144 | 2004 |
| 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 | 113 | 2001 |
| Relational instance based regression for relational reinforcement learning K Driessens, J Ramon Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 99 | 2003 |
| Transfer learning in reinforcement learning problems through partial policy recycling J Ramon, K Driessens, T Croonenborghs European Conference on Machine Learning, 699-707, 2007 | 98 | 2007 |
| Monte-Carlo tree search in poker using expected reward distributions GV Broeck, K Driessens, J Ramon Asian Conference on Machine Learning, 367-381, 2009 | 93 | 2009 |
| Relational reinforcement learning K Driessens ECCAI Advanced Course on Artificial Intelligence, 271-280, 2001 | 87 | 2001 |
| Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon International Conference on Inductive Logic Programming, 146-163, 2003 | 86 | 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 | 83 | 2008 |
| 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 | 80 | 2014 |
| Contextual encoder–decoder network for visual saliency prediction A Kroner, M Senden, K Driessens, R Goebel Neural Networks 129, 261-270, 2020 | 79 | 2020 |
| 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 | 77 | 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 | 74 | 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 | 68 | 2012 |
| Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64 (1), 91-119, 2006 | 68 | 2006 |
| Bayesian real-time dynamic programming S Sanner, R Goetschalckx, K Driessens, G Shani Proceedings of the 21st International Joint Conference on Artificial …, 2009 | 61 | 2009 |
| Integrating experimentation and guidance in relational reinforcement learning K Driessens, S Dzeroski Proceedings of the nineteenth international conference on machine learning …, 2002 | 47 | 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 | 45 | 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 | 35 | 2004 |
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
