Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001 | 523 | 2001 |
Contextual encoder–decoder network for visual saliency prediction A Kroner, M Senden, K Driessens, R Goebel Neural Networks 129, 261-270, 2020 | 206 | 2020 |
Integrating guidance into relational reinforcement learning K Driessens, S Džeroski Machine Learning 57, 271-304, 2004 | 170 | 2004 |
Relational reinforcement learning: An overview P Tadepalli, R Givan, K Driessens Proceedings of the ICML 4, 1-9, 2004 | 164 | 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 | 118 | 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 | 111 | 2007 |
An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 31-37, 2014 | 110 | 2014 |
Relational instance based regression for relational reinforcement learning K Driessens, J Ramon Proceedings of the 20th international conference on machine learning (icml …, 2003 | 102 | 2003 |
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 | 100 | 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 | 83 | 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 | 83 | 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 | 79 | 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 | 79 | 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 | 76 | 2012 |
Relational reinforcement learning K Driessens AI Communications 18 (1), 71-73, 2005 | 69 | 2005 |
Bayesian Real-Time Dynamic Programming. S Sanner, R Goetschalckx, K Driessens, G Shani IJCAI, 1784-1789, 2009 | 63 | 2009 |
Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64, 91-119, 2006 | 63 | 2006 |
Integrating experimentation and guidance in relational reinforcement learning K Driessens, S Dzeroski Proceedings of the nineteenth international conference on machine learning …, 2002 | 51 | 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 | 48 | 2015 |
Relational reinforcement learning K Driessens Multi-Agent Systems and Applications: 9th ECCAI Advanced Course, ACAI 2001 …, 2001 | 41 | 2001 |