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Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks


Jun 06, 2021
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst


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Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning


Jun 02, 2021
Nicolas Vecoven, Damien Ernst, Guillaume Drion


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M4Depth: A motion-based approach for monocular depth estimation on video sequences


May 21, 2021
Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck

* Main paper: 8 pages + references, Appendix: 2 pages 

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Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education


May 18, 2021
Robin Henry, Damien Ernst

* 5 pages, 2 figures, 2 code samples 

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Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems


Mar 14, 2021
Robin Henry, Damien Ernst

* 15 main pages, 17 pages of appendix, 10 figures, GitHub repository: https://github.com/robinhenry/gym-anm 

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Sparse Training Theory for Scalable and Efficient Agents


Mar 02, 2021
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale

* 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) 

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QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning


Dec 22, 2020
Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli

* To be published in AAAI-21 Workshop on Reinforcement Learning in Games 

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An Artificial Intelligence Solution for Electricity Procurement in Forward Markets


Jun 10, 2020
Thibaut Théate, Sébastien Mathieu, Damien Ernst

* Scientific research paper submitted to the Elsevier journal named "Journal of Commodity Markets" 

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A bio-inspired bistable recurrent cell allows for long-lasting memory


Jun 09, 2020
Nicolas Vecoven, Damien Ernst, Guillaume Drion


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Learning optimal environments using projected stochastic gradient ascent


Jun 02, 2020
Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst


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A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding


Apr 13, 2020
Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse


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An Application of Deep Reinforcement Learning to Algorithmic Trading


Apr 07, 2020
Thibaut Théate, Damien Ernst

* Preprint submitted to Elsevier journal "Expert Systems with Applications" 

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Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours


Jan 02, 2019
Nicolas Vecoven, Damien Ernst, Antoine Wehenkel, Guillaume Drion


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On overfitting and asymptotic bias in batch reinforcement learning with partial observability


Sep 22, 2017
Vincent Francois-Lavet, Damien Ernst, Raphael Fonteneau


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How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies


Jan 20, 2016
Vincent François-Lavet, Raphael Fonteneau, Damien Ernst

* NIPS 2015 Deep Reinforcement Learning Workshop 

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Benchmarking for Bayesian Reinforcement Learning


Sep 14, 2015
Michael Castronovo, Damien Ernst, Adrien Couetoux, Raphael Fonteneau

* 37 pages 

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Toggling a Genetic Switch Using Reinforcement Learning


Feb 25, 2015
Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan

* 12 pages, presented at the 9th French Meeting on Planning, Decision Making and Learning, Li\`ege (Belgium), May 12-13, 2014 

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Simple connectome inference from partial correlation statistics in calcium imaging


Nov 18, 2014
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts


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Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality


Mar 29, 2013
Sebastien Bubeck, Damien Ernst, Aurelien Garivier

* arXiv admin note: substantial text overlap with arXiv:1110.5447 

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Monte Carlo Search Algorithm Discovery for One Player Games


Dec 18, 2012
Francis Maes, David Lupien St-Pierre, Damien Ernst


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Min Max Generalization for Two-stage Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes


Oct 30, 2012
Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux


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


Aug 23, 2012
Tobias Jung, Louis Wehenkel, Damien Ernst, Francis Maes

* In Submission 

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Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case


Jul 22, 2012
Francis Maes, Damien Ernst, Louis Wehenkel

* 16 pages, Springer Selection of papers of ICAART'12 

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Scenario trees and policy selection for multistage stochastic programming using machine learning


Dec 19, 2011
Boris Defourny, Damien Ernst, Louis Wehenkel


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Optimal discovery with probabilistic expert advice


Oct 25, 2011
Sébastien Bubeck, Damien Ernst, Aurélien Garivier


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