| Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1-2), 7-52, 2001 | 500 | 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 | 139 | 2004 |
| Integrating guidance into relational reinforcement learning K Driessens, S Džeroski Machine Learning 57 (3), 271-304, 2004 | 122 | 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 | 108 | 2001 |
| Relational instance based regression for relational reinforcement learning K Driessens, J Ramon Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 93 | 2003 |
| Relational reinforcement learning K Driessens AI Communications 18 (1), 71-73, 2005 | 84* | 2005 |
| Transfer learning in reinforcement learning problems through partial policy recycling J Ramon, K Driessens, T Croonenborghs European Conference on Machine Learning, 699-707, 2007 | 82 | 2007 |
| Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon International Conference on Inductive Logic Programming, 146-163, 2003 | 82 | 2003 |
| Monte-Carlo tree search in poker using expected reward distributions G Van den Broeck, K Driessens, J Ramon Asian Conference on Machine Learning, 367-381, 2009 | 76 | 2009 |
| 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 | 73 | 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 | 72 | 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 | 63 | 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 | 60 | 2012 |
| Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64 (1-3), 91-119, 2006 | 55 | 2006 |
| Bayesian real-time dynamic programming S Sanner, R Goetschalckx, K Driessens, G Shani Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 53 | 2009 |
| 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 | 52 | 2014 |
| 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 | 37 | 2015 |
| Combining model-based and instance-based learning for first order regression K Driessens, S Džeroski Proceedings of the 22nd international conference on Machine learning, 193-200, 2005 | 33 | 2005 |
| Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 32 | 2013 |
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
