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francis maes
francis maes
Postdoctoral fellow, University of Leuven, Belgium
Email verificata su cs.kuleuven.be - Home page
Titolo
Citata da
Citata da
Anno
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
482013
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
452012
Structured prediction with reinforcement learning
F Maes, L Denoyer, P Gallinari
Machine learning 77, 271-301, 2009
412009
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
362012
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
282012
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
252013
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
252009
Learning to play K-armed bandit problems
F Maes, L Wehenkel, D Ernst
4th International Conference on Agents and Artificial Intelligence (ICAART 2012), 2012
202012
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
122013
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
112013
Sequence labeling with reinforcement learning and ranking algorithms
F Maes, L Denoyer, P Gallinari
ECML, 648-657, 2007
112007
On the encoding of proteins for disordered regions prediction
J Becker, F Maes, L Wehenkel
PloS one 8 (12), e82252, 2013
92013
On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction
J Becker, F Maes, L Wehenkel
PLoS One 8 (2), e56621, 2013
82013
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
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
72012
Learning in Markov decision processes for structured prediction
F Maes
PhD thesis, Pierre and Marie Curie University, Computer Science Laboratory …, 2009
72009
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
62014
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
62014
XML Structure Mapping: Application to the PASCAL/INEX 2006 XML Document Mining Track
F Maes, L Denoyer, P Gallinari
Comparative Evaluation of XML Information Retrieval Systems: 5th …, 2007
62007
Probabilistic Model for Structured Document Mapping: Application to Automatic HTML to XML Conversion
G Wisniewski, F Maes, L Denoyer, P Gallinari
Machine Learning and Data Mining in Pattern Recognition: 5th International …, 2007
52007
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20