Francis Maes

According to our database, Francis Maes authored at least 27 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Exploring the Space of IR Functions.

Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes

Proceedings of the Advances in Information Retrieval, 2014

2013

Monte Carlo Search Algorithm Discovery for Single-Player Games.

Francis Maes, David Lupien St-Pierre, Damien Ernst

IEEE Trans. Comput. Intell. AI Games, 2013

Multi-objective optimization with surrogate trees.

Denny Verbeeck, Francis Maes, Kurt De Grave, Hendrik Blockeel

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Optimized look-ahead trees: Extensions to large and continuous action spaces.

Tobias Jung, Damien Ernst, Francis Maes

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Modeling, 2012

Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search

Tobias Jung, Louis Wehenkel, Damien Ernst, Francis Maes

CoRR, 2012

Monte Carlo Search Algorithm Discovery for One Player Games

Francis Maes, David Lupien St-Pierre, Damien Ernst

CoRR, 2012

Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods.

Francis Maes, Pierre Geurts, Louis Wehenkel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case.

Francis Maes, Louis Wehenkel, Damien Ernst

Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012

Learning to Play K-armed Bandit Problems.

Francis Maes, Louis Wehenkel, Damien Ernst

Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning.

Michael Castronovo, Francis Maes, Raphael Fonteneau, Damien Ernst

Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

Supervised learning to tune simulated annealing for in silico protein structure prediction.

Alejandro Marcos Alvarez, Francis Maes, Louis Wehenkel

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning.

Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst

Proceedings of the Discovery Science - 15th International Conference, 2012

Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron.

Pierre Perick, David Lupien St-Pierre, Francis Maes, Damien Ernst

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011

Optimized Look-ahead Tree Search Policies.

Francis Maes, Louis Wehenkel, Damien Ernst

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits.

Francis Maes, Louis Wehenkel, Damien Ernst

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Iterative multi-task sequence labeling for predicting structural properties of proteins.

Francis Maes, Julien Becker, Louis Wehenkel

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2009

Structured prediction with reinforcement learning.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Mach. Learn., 2009

Nieme: Large-Scale Energy-Based Models.

Francis Maes

J. Mach. Learn. Res., 2009

Simulated Iterative Classification A New Learning Procedure for Graph Labeling.

Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008

Applications of Reinforcement Learning to Structured Prediction.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Apprentissage de conversion de documents semi-structurés à partir d'exemples.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

2007

Modèle probabiliste pour l'extraction de structures dans les documents web.

Guillaume Wisniewski, Francis Maes, Ludovic Denoyer

Document Numérique, 2007

Probabilistic Model for Structured Document Mapping.

Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Sequence Labeling with Reinforcement Learning and Ranking Algorithms.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Machine Learning: ECML 2007, 2007

2006

XML Structure Mapping.

Francis Maes, Ludovic Denoyer, Patrick Gallinari

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web.

Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006