Vector addressing processor for direct and indirect accesses. - Jean-Luc Dekeyser; Philippe Marquet; Philippe Preux (Microprocessing and Microprogramming, 1990)

EVA: an explicit vector language. - Jean-Luc Dekeyser; Philippe Marquet; Philippe Preux (ACM SIGPLAN Notices, 1990)

Performance improvement for vector pipeline multiprocessor systems using a disordered execution model. - M. Tahar Kechadi; Jean-Luc Dekeyser; Philippe Marquet; Philippe Preux (ISCA, 1992)

Climbing Up NP-Hard Hills. - David Duvivier; Philippe Preux; El-Ghazali Talbi (PPSN, 1996)

A Bit-Wise Epistasis Measure for Binary Search Spaces. - Cyril Fonlupt; Denis Robilliard; Philippe Preux (PPSN, 1998)

The fitness function and its impact on local search methods. - David Duvivier; Philippe Preux; Cyril Fonlupt; Denis Robilliard; El-Ghazali Talbi (SMC, 1998)

Evolution of Cooperation within a Behavior-Based Perspective: Confronting Nature and Animats. - Samuel Delepoulle; Philippe Preux; Jean-Claude Darcheville (Artificial Evolution, 1999)

Virtual Laboratory Environment (VLE) : un environnement multi-agents pour la modélisation et la simulation d'écosystèmes (démonstration). - Éric Ramat; Philippe Preux (JFIADSMA, 2000)

Learning as a Consequence of Selection. - Samuel Delepoulle; Philippe Preux; Jean-Claude Darcheville (Artificial Evolution, 2001)

Selection of Behavior in Social Situations. - Samuel Delepoulle; Philippe Preux; Jean-Claude Darcheville (EvoWorkshops, 2001)

Propagation of Q-values in Tabular TD(lambda). - Philippe Preux (ECML, 2002)

"Virtual laboratory environment" (VLE): a software environment oriented agent and object for modeling and simulation of complex systems. - Éric Ramat; Philippe Preux (Simul. Model. Pract. Theory, 2003)

A generic architecture for adaptive agents based on reinforcement learning. - Philippe Preux; Samuel Delepoulle; Jean-Claude Darcheville (Inf. Sci., 2004)

A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD - Manuel Loth; Philippe Preux (CoRR, 2006)

A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD. - Manuel Loth; Philippe Preux; Manuel Davy (ESANN, 2007)

Feature Discovery in Reinforcement Learning Using Genetic Programming. - Sertan Girgin; Philippe Preux (EuroGP, 2008)

Basis Expansion in Natural Actor Critic Methods. - Sertan Girgin; Philippe Preux (EWRL, 2008)

Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. - Sertan Girgin; Philippe Preux (ICMLA, 2008)

Feature discovery in approximate dynamic programming. - Philippe Preux; Sertan Girgin; Manuel Loth (ADPRL, 2009)

ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. - Manuel Loth; Philippe Preux; Samuel Delepoulle; Christophe Renaud (ICMLA, 2009)

Affichage de publicités sur des portails web. - Victor Gabillon; Jérémie Mary; Philippe Preux (EGC, 2010)

Advertising Campaigns Management: Should We Be Greedy? - Sertan Girgin; Jérémie Mary; Philippe Preux; Olivier Nicol (ICDM, 2010)

The Iso-regularization Descent Algorithm for the LASSO. - Manuel Loth; Philippe Preux (ICONIP (1), 2010)

Nonlinear functional regression: a functional RKHS approach. - Hachem Kadri; Emmanuel Duflos; Philippe Preux; Stéphane Canu; Manuel Davy (AISTATS, 2010)

Learning vocal tract variables with multi-task kernels. - Hachem Kadri; Emmanuel Duflos; Philippe Preux (ICASSP, 2011)

Functional Regularized Least Squares Classication with Operator-valued Kernels. - Hachem Kadri; Asma Rabaoui; Philippe Preux; Emmanuel Duflos; Alain Rakotomamonjy (ICML, 2011)

Datum-Wise Classification: A Sequential Approach to Sparsity. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (ECML/PKDD (1), 2011)

Multiple Operator-valued Kernel Learning. - Hachem Kadri; Alain Rakotomamonjy; Francis R. Bach; Philippe Preux (NIPS, 2012)

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (ECML/PKDD (2), 2012)

Managing advertising campaigns - an approximate planning approach. - Sertan Girgin; Jérémie Mary; Philippe Preux; Olivier Nicol (Frontiers Comput. Sci., 2012)

Online Clustering of Processes. - Azadeh Khaleghi; Daniil Ryabko; Jérémie Mary; Philippe Preux (AISTATS, 2012)

ICML Exploration & Exploitation Challenge: Keep it simple! - Olivier Nicol; Jérémie Mary; Philippe Preux (ICML On-line Trading of Exploration and Exploitation, 2012)

Sequential approaches for learning datum-wise sparse representations. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (Mach. Learn., 2012)

A Generalized Kernel Approach to Structured Output Learning. - Hachem Kadri; Mohammad Ghavamzadeh; Philippe Preux (ICML (1), 2013)

Functional Regularized Least Squares Classi cation with Operator-valued Kernels - Hachem Kadri; Asma Rabaoui; Philippe Preux; Emmanuel Duflos; Alain Rakotomamonjy (CoRR, 2013)

Multiple functional regression with both discrete and continuous covariates - Hachem Kadri; Philippe Preux; Emmanuel Duflos; Stéphane Canu (CoRR, 2013)

Bandits attack function optimization. - Philippe Preux; Rémi Munos; Michal Valko (IEEE Congress on Evolutionary Computation, 2014)

De l'ombre à la lumière : plus de visibilité sur l'Eclipse. - Boris Baldassari; Flavien Huynh; Philippe Preux (EGC, 2014)

Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. - Jérémie Mary; Philippe Preux; Olivier Nicol (ICML, 2014)

Understanding software evolution: the maisqual ant data set. - Boris Baldassari; Philippe Preux (MSR, 2014)

Bandits Warm-up Cold Recommender Systems. - Jérémie Mary; Romaric Gaudel; Philippe Preux (CoRR, 2014)

A Generative Model of Software Dependency Graphs to Better Understand Software Evolution. - Vincenzo Musco; Martin Monperrus; Philippe Preux (CoRR, 2014)

Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms. - Hai Thanh Nguyen 001; Jérémie Mary; Philippe Preux (CoRR, 2014)

Simultaneous optimistic optimization on the noiseless BBOB testbed. - Bilel Derbel; Philippe Preux (CEC, 2015)

An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. - Vincenzo Musco; Martin Monperrus; Philippe Preux (AST@ICSE, 2015)

Bandits and Recommender Systems. - Jérémie Mary; Romaric Gaudel; Philippe Preux (MOD, 2015)

A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications. - Vincenzo Musco; Antonin Carette; Martin Monperrus; Philippe Preux (CoRR, 2015)

Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (ICONIP (2), 2016)

A learning algorithm for change impact prediction. - Vincenzo Musco; Antonin Carette; Martin Monperrus; Philippe Preux (RAISE@ICSE, 2016)

Preference-Like Score to Cope with Cold-Start User in Recommender Systems. - Crícia Z. Felício; Klérisson V. R. Paixão; Célia A. Z. Barcelos; Philippe Preux (ICTAI, 2016)

Large-Scale Bandit Recommender System. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (MOD, 2016)

Scalable Explore-Exploit Collaborative filtering. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (PACIS, 2016)

Mutation-Based Graph Inference for Fault Localization. - Vincenzo Musco; Martin Monperrus; Philippe Preux (SCAM, 2016)

Exploiting Social Information in Pairwise Preference Recommender System. - Crícia Z. Felício; Klérisson V. R. Paixão; Guilherme Alves 001; Sandra de Amo; Philippe Preux (J. Inf. Data Manag., 2016)

Operator-valued Kernels for Learning from Functional Response Data. - Hachem Kadri; Emmanuel Duflos; Philippe Preux; Stéphane Canu; Alain Rakotomamonjy; Julien Audiffren (J. Mach. Learn. Res., 2016)

Consistent Algorithms for Clustering Time Series. - Azadeh Khaleghi; Daniil Ryabko; Jérémie Mary; Philippe Preux (J. Mach. Learn. Res., 2016)

A Generative Model for Sparse, Evolving Digraphs. - Georgios Papoudakis; Philippe Preux; Martin Monperrus (COMPLEX NETWORKS, 2017)

A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation. - Crícia Z. Felício; Klérisson V. R. Paixão; Célia A. Zorzo Barcelos; Philippe Preux (UMAP, 2017)

A large-scale study of call graph-based impact prediction using mutation testing. - Vincenzo Musco; Martin Monperrus; Philippe Preux (Softw. Qual. J., 2017)

Visual Reasoning with Multi-hop Feature Modulation. - Florian Strub; Mathieu Seurin; Ethan Perez; Harm de Vries; Jérémie Mary; Philippe Preux; Aaron C. Courville; Olivier Pietquin (ECCV (5), 2018)

Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. - Kiewan Villatel; Elena Smirnova; Jérémie Mary; Philippe Preux (CoRR, 2018)

Correctness attraction: a study of stability of software behavior under runtime perturbation. - Benjamin Danglot; Philippe Preux; Benoit Baudry; Martin Monperrus (Empir. Softw. Eng., 2018)

Energy Management for Microgrids: a Reinforcement Learning Approach. - Tanguy Levent; Philippe Preux; Erwan Le Pennec; Jordi Badosa; Gonzague Henri; Yvan Bonnassieux (ISGT Europe, 2019)

Samples are not all useful: Denoising policy gradient updates using variance. - Yannis Flet-Berliac; Philippe Preux (CoRR, 2019)

High-Dimensional Control Using Generalized Auxiliary Tasks. - Yannis Flet-Berliac; Philippe Preux (CoRR, 2019)

"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. - Mathieu Seurin; Philippe Preux; Olivier Pietquin (CoRR, 2019)

Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. - Yannis Flet-Berliac; Philippe Preux (IJCAI, 2020)

"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. - Mathieu Seurin; Philippe Preux; Olivier Pietquin (IJCNN, 2020)

A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. - Mathieu Seurin; Florian Strub; Philippe Preux; Olivier Pietquin (INTERSPEECH, 2020)

Geometric deep reinforcement learning for dynamic DAG scheduling. - Nathan Grinsztajn; Olivier Beaumont; Emmanuel Jeannot; Philippe Preux (SSCI, 2020)

Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. - Yannis Flet-Berliac; Reda Ouhamma; Odalric-Ambrym Maillard; Philippe Preux (CoRR, 2020)

READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. - Nathan Grinsztajn; Olivier Beaumont; Emmanuel Jeannot; Philippe Preux (CLUSTER, 2021)

Adversarially Guided Actor-Critic. - Yannis Flet-Berliac; Johan Ferret; Olivier Pietquin; Philippe Preux; Matthieu Geist (ICLR, 2021)

Learning Value Functions in Deep Policy Gradients using Residual Variance. - Yannis Flet-Berliac; Reda Ouhamma; Odalric-Ambrym Maillard; Philippe Preux (ICLR, 2021)

Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. - Mathieu Seurin; Florian Strub; Philippe Preux; Olivier Pietquin (IJCAI, 2021)

There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. - Nathan Grinsztajn; Johan Ferret; Olivier Pietquin; Philippe Preux; Matthieu Geist (NeurIPS, 2021)

Interferometric Graph Transform for Community Labeling. - Nathan Grinsztajn; Louis Leconte; Philippe Preux; Edouard Oyallon (CoRR, 2021)

Low-Rank Projections of GCNs Laplacian. - Nathan Grinsztajn; Philippe Preux; Edouard Oyallon (CoRR, 2021)

More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences. - Toby Johnstone; Nathan Grinsztajn; Johan Ferret; Philippe Preux (CoRR, 2021)

Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries. - Pierre Schegg; Jérémie Dequidt; Eulalie Coevoet; Edouard Leurent; Rémi Sabatier; Philippe Preux; Christian Duriez (RoboSoft, 2022)

Reinforcement learning for crop management support: Review, prospects and challenges. - Romain Gautron; Odalric-Ambrym Maillard; Philippe Preux; Marc Corbeels; Régis Sabbadin (Comput. Electron. Agric., 2022)

gym-DSSAT: a crop model turned into a Reinforcement Learning environment. - Romain Gautron; Emilio J. Padrón 001; Philippe Preux; Julien Bigot; Odalric-Ambrym Maillard; David Emukpere (CoRR, 2022)

Entropy Regularized Reinforcement Learning with Cascading Networks. - Riccardo Della Vecchia; Alena Shilova; Philippe Preux; Riad Akrour (CoRR, 2022)

Soft Action Priors: Towards Robust Policy Transfer. - Matheus Centa; Philippe Preux (AAAI, 2023)

Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte. - Pierre Erbacher; Philippe Preux; Jian-Yun Nie; Laure Soulier (CORIA-TALN, 2023)

Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. - Hector Kohler; Riad Akrour; Philippe Preux (CoRR, 2023)

AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. - Timothée Mathieu; Riccardo Della Vecchia; Alena Shilova; Matheus Centa de Medeiros; Hector Kohler; Odalric-Ambrym Maillard; Philippe Preux (CoRR, 2023)

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. - Patrick Saux; Pierre Bauvin; Violeta Raverdy; Julien Teigny; Hélène Verkindt; Tomy Soumphonphakdy; Maxence Debert; Anne Jacobs 003; Daan Jacobs; Valerie Monpellier; Phong Ching Lee; Chin Hong Lim; et al. (CoRR, 2023)

Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. - Hector Kohler; Riad Akrour; Philippe Preux (CoRR, 2023)

Statistical comparison in empirical computer science with minimal computation usage. - Timothée Mathieu; Philippe Preux (ACM-REP, 2024)

PAQA: Vers des systèmes ProActifs face aux Questions Ambiguës. - Pierre Erbacher; Jian-Yun Nie; Philippe Preux; Laure Soulier (CORIA, 2024)

Towards an Autonomous Sailboat Navigation Control Architecture. - André P. D. de Araújo; Raphael Guerra; Vishali Mankina; Philippe Preux; Cosimo Distante; Eduardo Charles Vasconcellos; Diego N. Brandão; Luiz Marcos Garcia Gonçalves; Esteban Clua (LARS, 2024)

A comparison of DRL with APF and A* with PI Control for Trajectory Planning with Obstacle Avoidance for Sailboat Robots. - André P. D. de Araújo; Vishali Mankina; Carlo Cernicchiaro; Philippe Preux; Cosimo Distante; Eduardo Charles Vasconcellos; Diego N. Brandão; Luiz Marcos Garcia Gonçalves; Esteban Clua (LARS, 2024)

Reinforcement-learning robotic sailboats: simulator and preliminary results. - Eduardo Charles Vasconcellos; Ronald M. Sampaio; André P. D. de Araújo; Esteban Walter Gonzales Clua; Philippe Preux; Raphael Guerra; Luiz M. G. Gonçalves; Luis Martí; Hernan Lira; Nayat Sánchez-Pi (CoRR, 2024)

PAQA: Toward ProActive Open-Retrieval Question Answering. - Pierre Erbacher; Jian-Yun Nie; Philippe Preux; Laure Soulier (CoRR, 2024)

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. - Hector Kohler; Quentin Delfosse; Paul Festor; Philippe Preux (CoRR, 2024)

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. - Hector Kohler; Quentin Delfosse; Riad Akrour; Kristian Kersting; Philippe Preux (CoRR, 2024)

IDEQ: an improved diffusion model for the TSP. - Mickael Basson; Philippe Preux (CoRR, 2024)

Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. - Pierre Erbacher; Jian-Yun Nie; Philippe Preux; Laure Soulier (Trans. Mach. Learn. Res., 2024)

AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents. - Timothée Mathieu; Matheus Centa; Riccardo Della Vecchia; Hector Kohler; Alena Shilova; Odalric-Ambrym Maillard; Philippe Preux (Trans. Mach. Learn. Res., 2024)

General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. - André Paulo Dantas de Araújo; Dickson H. J. Daniel; Raphael Guerra; Diego N. Brandão; Eduardo Charles Vasconcellos; Álvaro Pinto Fernandes de Negreiros; Esteban Walter Gonzalez Clua; Luiz M. G. Gonçalves; Philippe Preux (IEEE Internet Things J., 2024)

Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. - Hector Kohler; Quentin Delfosse; Waris Radji; Riad Akrour; Philippe Preux (CoRR, 2025)

Yara: An Ocean Virtual Environment for Research and Development of Autonomous Sailing Robots and Other Unmanned Surface Vessels. - Eduardo Charles Vasconcellos; Álvaro Pinto Fernandes de Negreiros; André Paulo Dantas de Araújo; Raphael Guerra; Philippe Preux; Davi Henrique dos Santos; Luiz Marcos Garcia Gonçalves; Esteban Walter Gonzalez Clua (J. Intell. Robotic Syst., 2025)