francis maes
francis maes
Postdoctoral fellow, University of Leuven, Belgium
Verified email at cs.kuleuven.be - Homepage
TitleCited byYear
Learning exploration/exploitation strategies for single trajectory reinforcement learning
M Castronovo, F Maes, R Fonteneau, D Ernst
Proceedings of the 10th European Workshop on Reinforcement Learning (EWRL …, 2012
332012
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
322012
Structured prediction with reinforcement learning
F Maes, L Denoyer, P Gallinari
Machine learning 77 (2-3), 271, 2009
302009
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
232011
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
212009
Learning to play K-armed bandit problems
F Maes, L Wehenkel, D Ernst
Proceedings of the 4th International Conference on Agents and Artificial …, 2012
172012
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
162012
Sequence labeling with reinforcement learning and ranking algorithms
F Maes, L Denoyer, P Gallinari
European Conference on Machine Learning, 648-657, 2007
112007
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
102012
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
92013
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
Learning in Markov decision processes for structured prediction
F Maes
PhD thesis, Pierre and Marie Curie University, Computer Science Laboratory …, 2009
72009
Exploring the space of IR functions
P Goswami, S Moura, E Gaussier, MR Amini, F Maes
European Conference on Information Retrieval, 372-384, 2014
62014
On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction
J Becker, F Maes, L Wehenkel
PloS one 8 (2), e56621, 2013
62013
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
62013
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
52014
XML Structure Mapping, Application to the PASCAL/INEX 2006 XML Document Mining Track
F Maes, L Denoyer, P Gallinari
52006
On the encoding of proteins for disordered regions prediction
J Becker, F Maes, L Wehenkel
PloS one 8 (12), e82252, 2013
42013
Iterative multi-task sequence labeling for predicting structural properties of proteins
F Maes, J Becker, L Wehenkel
ESANN 2011, 2011
42011
Probabilistic model for structured document mapping
G Wisniewski, F Maes, L Denoyer, P Gallinari
International Workshop on Machine Learning and Data Mining in Pattern …, 2007
42007
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Articles 1–20