Emmanuel Rachelson

According to our database, Emmanuel Rachelson authored at least 43 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Disentanglement by Cyclic Reconstruction.

David Bertoin, Emmanuel Rachelson

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Solving robust MDPs as a sequence of static RL problems.

Adil Zouitine, Matthieu Geist, Emmanuel Rachelson

CoRR, 2024

The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach.

David Bertoin, Eduardo Hugo Sanchez, Mehdi Zouitine, Emmanuel Rachelson

CoRR, 2024

Exploration by Learning Diverse Skills through Successor State Measures.

Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Königsbuch, Dennis G. Wilson, Emmanuel Rachelson

CoRR, 2024

RRLS : Robust Reinforcement Learning Suite.

Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson

CoRR, 2024

Time-Constrained Robust MDPs.

Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson

CoRR, 2024

Bootstrapping Expectiles in Reinforcement Learning.

Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec, Matthieu Geist

CoRR, 2024

Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper).

Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Florent Teichteil-Königsbuch, Nicolas Schneider, Hélène Waeselynck, Dennis Wilson

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Summary of "Curiosity creates Diversity in Policy Search".

Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Quality with Just Enough Diversity in Evolutionary Policy Search.

Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Learning Heuristics for Combinatorial Optimization Problems on K-Partite Hypergraphs.

Mehdi Zouitine, Ahmad Berjaoui, Agnès Lagnoux, Clément Pellegrini, Emmanuel Rachelson

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies.

Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Curiosity Creates Diversity in Policy Search.

Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis G. Wilson

ACM Trans. Evol. Learn. Optim., September, 2023

Dynamic unsplittable flows with path-change penalties: New formulations and solution schemes for large instances.

François Lamothe, Emmanuel Rachelson, Alain Haït, Cédric Baudoin, Jean-Baptiste Dupe

Comput. Oper. Res., April, 2023

2022

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning.

Valentin Guillet, Dennis G. Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson

CoRR, 2022

Look where you look! Saliency-guided Q-networks for visual RL tasks.

David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson

CoRR, 2022

On Neural Consolidation for Transfer in Reinforcement Learning.

Valentin Guillet, Dennis Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning.

David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Large Batch Experience Replay.

Thibault Lahire, Matthieu Geist, Emmanuel Rachelson

Proceedings of the International Conference on Machine Learning, 2022

Local Feature Swapping for Generalization in Reinforcement Learning.

David Bertoin, Emmanuel Rachelson

Proceedings of the Tenth International Conference on Learning Representations, 2022

LUCIE: an evaluation and selection method for stochastic problems.

Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning.

Valentin Guillet, Dennis George Wilson, Emmanuel Rachelson

Proceedings of the Conference on Lifelong Learning Agents, 2022

When, where, and how to add new neurons to ANNs.

Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Randomized rounding algorithms for large scale unsplittable flow problems.

François Lamothe, Emmanuel Rachelson, Alain Haït, Cédric Baudoin, Jean-Baptiste Dupe

J. Heuristics, 2021

The aircraft runway scheduling problem: A survey.

Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive, Emmanuel Rachelson

Comput. Oper. Res., 2021

A geometric encoding for neural network evolution.

Paul Templier, Emmanuel Rachelson, Dennis G. Wilson

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Lipschitz Lifelong Reinforcement Learning.

Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location.

Andrea Lodi, Luca Mossina, Emmanuel Rachelson

EURO J. Transp. Logist., 2020

2019

A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem.

Luca Mossina, Emmanuel Rachelson, Daniel Delahaye

CoRR, 2019

Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning.

Erwan Lecarpentier, Emmanuel Rachelson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization.

Luca Mossina, Emmanuel Rachelson, Daniel Delahaye

Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

2018

Open Loop Execution of Tree-Search Algorithms.

Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Naive Bayes Classification for Subset Selection.

Luca Mossina, Emmanuel Rachelson

CoRR, 2017

Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring.

Erwan Lecarpentier, Sebastian Rapp, Marc Melo, Emmanuel Rachelson

CoRR, 2017

2016

Approximate Inference in Related Multi-output Gaussian Process Regression.

Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier

Proceedings of the Pattern Recognition Applications and Methods, 2016

Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference.

Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2014

Formal Detection of Attentional Tunneling in Human Operator-Automation Interactions.

Nicolas Regis, Frédéric Dehais, Emmanuel Rachelson, Charles Thooris, Sergio Pizziol, Mickaël Causse, Catherine Tessier

IEEE Trans. Hum. Mach. Syst., 2014

2011

Optimal Sample Selection for Batch-mode Reinforcement Learning.

Emmanuel Rachelson, François Schnitzler, Louis Wehenkel, Damien Ernst

Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010

On the locality of action domination in sequential decision making.

Emmanuel Rachelson, Michail G. Lagoudakis

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning.

Emmanuel Rachelson, Ala Ben Abbes, Sebastien Diemer

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs.

Emmanuel Rachelson, Patrick Fabiani, Frédérick Garçia

Proceedings of the ICTAI 2009, 2009

2008

Extending the Bellman equation for MDPs to continuous actions and cont. time in the discounted case.

Emmanuel Rachelson, Frédérick Garçia, Patrick Fabiani

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes.

Emmanuel Rachelson, Gauthier Quesnel, Frédérick Garçia, Patrick Fabiani

Proceedings of the ECAI 2008, 2008