| 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 | 58 | 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 | 48 | 2012 |
| Structured prediction with reinforcement learning F Maes, L Denoyer, P Gallinari Machine learning 77, 271-301, 2009 | 45 | 2009 |
| Policy search in a space of simple closed-form formulas: Towards interpretability of reinforcement learning F Maes, R Fonteneau, L Wehenkel, D Ernst Discovery Science: 15th International Conference, DS 2012, Lyon, France …, 2012 | 42 | 2012 |
| Meta-learning of exploration/exploitation strategies: The multi-armed bandit case F Maes, L Wehenkel, D Ernst Agents and Artificial Intelligence: 4th International Conference, ICAART …, 2013 | 28 | 2013 |
| Automatic discovery of ranking formulas for playing with multi-armed bandits F Maes, L Wehenkel, D Ernst Recent Advances in Reinforcement Learning: 9th European Workshop, EWRL 2011 …, 2012 | 27 | 2012 |
| Simulated iterative classification a new learning procedure for graph labeling F Maes, S Peters, L Denoyer, P Gallinari Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 25 | 2009 |
| Learning to play K-armed bandit problems F Maes, L Wehenkel, D Ernst 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), 2012 | 21 | 2012 |
| 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 | 14 | 2013 |
| 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 | 12 | 2013 |
| Sequence labeling with reinforcement learning and ranking algorithms F Maes, L Denoyer, P Gallinari European Conference on Machine Learning, 648-657, 2007 | 12 | 2007 |
| Optimized look-ahead tree policies F Maes, L Wehenkel, D Ernst Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011), 2011 | 11* | 2011 |
| On the encoding of proteins for disordered regions prediction J Becker, F Maes, L Wehenkel PloS one 8 (12), e82252, 2013 | 10 | 2013 |
| On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction J Becker, F Maes, L Wehenkel PLoS One 8 (2), e56621, 2013 | 8 | 2013 |
| 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 | 7 | 2014 |
| Supervised learning to tune simulated annealing for in silico protein structure prediction A Marcos Alvarez, F Maes, L Wehenkel ESANN 2012, 20th European Symposium on Artificial Neural Networks …, 2012 | 7 | 2012 |
| Embedding Monte Carlo search of features in tree-based ensemble methods F Maes, P Geurts, L Wehenkel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 7 | 2012 |
| Learning in Markov decision processes for structured prediction F Maes PhD thesis, Pierre and Marie Curie University, Computer Science Laboratory …, 2009 | 7 | 2009 |
| XML Structure Mapping: Application to the PASCAL/INEX 2006 XML Document Mining Track F Maes, L Denoyer, P Gallinari International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2006 | 7 | 2006 |
| Exploring the space of IR functions P Goswami, S Moura, E Gaussier, MR Amini, F Maes Advances in Information Retrieval: 36th European Conference on IR Research …, 2014 | 6 | 2014 |
Damien ErnstProfessor of Electrical Engineering and Computer Science, ULiègeBestätigte E-Mail-Adresse bei uliege.be
