| Learning exploration/exploitation strategies for single trajectory reinforcement learning M Castronovo, F Maes, R Fonteneau, D Ernst European Workshop on Reinforcement Learning, 1-10, 2013 | 40 | 2013 |
| Comparison of different selection strategies in monte-carlo tree search for the game of tron P Perick, DL St-Pierre, F Maes, D Ernst 2012 IEEE Conference on Computational Intelligence and Games (CIG), 242-249, 2012 | 34 | 2012 |
| Structured prediction with reinforcement learning F Maes, L Denoyer, P Gallinari Machine learning 77 (2-3), 271, 2009 | 33 | 2009 |
| Automatic discovery of ranking formulas for playing with multi-armed bandits F Maes, L Wehenkel, D Ernst European Workshop on Reinforcement Learning, 5-17, 2011 | 26 | 2011 |
| Implicit causal models for genome-wide association studies D Tran, DM Blei arXiv preprint arXiv:1710.10742, 2017 | 24 | 2017 |
| Policy search in a space of simple closed-form formulas: towards interpretability of reinforcement learning F Maes, R Fonteneau, L Wehenkel, D Ernst International Conference on Discovery Science, 37-51, 2012 | 22 | 2012 |
| Simulated iterative classification a new learning procedure for graph labeling F Maes, S Peters, L Denoyer, P Gallinari Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009 | 21 | 2009 |
| Learning to play K-armed bandit problems F Maes, L Wehenkel, D Ernst Proceedings of the 4th International Conference on Agents and Artificial …, 2012 | 18 | 2012 |
| Meta-learning of exploration/exploitation strategies: The multi-armed bandit case F Maes, L Wehenkel, D Ernst International Conference on Agents and Artificial Intelligence, 100-115, 2012 | 15 | 2012 |
| Multi-objective optimization with surrogate trees D Verbeeck, F Maes, K De Grave, H Blockeel Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 11 | 2013 |
| Sequence labeling with reinforcement learning and ranking algorithms F Maes, L Denoyer, P Gallinari European Conference on Machine Learning, 648-657, 2007 | 11 | 2007 |
| Optimized look-ahead tree policies F Maes, L Wehenkel, D Ernst Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011), 2011 | 8* | 2011 |
| On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction J Becker, F Maes, L Wehenkel PLoS One 8 (2), e56621, 2013 | 7 | 2013 |
| Monte carlo search algorithm discovery for single-player games F Maes, DL St-Pierre, D Ernst IEEE Transactions on Computational Intelligence and AI in Games 5 (3), 201-213, 2013 | 7 | 2013 |
| Learning in Markov decision processes for structured prediction F Maes PhD thesis, Pierre and Marie Curie University, Computer Science Laboratory …, 2009 | 7 | 2009 |
| Exploring the space of IR functions P Goswami, S Moura, E Gaussier, MR Amini, F Maes European Conference on Information Retrieval, 372-384, 2014 | 6 | 2014 |
| On the encoding of proteins for disordered regions prediction J Becker, F Maes, L Wehenkel PLoS One 8 (12), e82252, 2013 | 6 | 2013 |
| XML Structure Mapping, Application to the PASCAL/INEX 2006 XML Document Mining Track F Maes, L Denoyer, P Gallinari | 6 | 2006 |
| Optimized look‐ahead tree policies: a bridge between look‐ahead tree policies and direct policy search T Jung, L Wehenkel, D Ernst, F Maes International Journal of Adaptive Control and Signal Processing 28 (3-5 …, 2014 | 5 | 2014 |
| Embedding Monte Carlo search of features in tree-based ensemble methods F Maes, P Geurts, L Wehenkel Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 4 | 2012 |
Damien ErnstProfessor at the University of Liège and co-founder of Blacklight AnalyticsVerified email at ulg.ac.be
