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Oct 20, 2020
Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko


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Monte-Carlo Tree Search as Regularized Policy Optimization

Jul 24, 2020
Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos

* Accepted to International Conference on Machine Learning (ICML), 2020 

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Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Jun 13, 2020
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko


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Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning

Apr 30, 2020
Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean-bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar


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World Discovery Models

Mar 01, 2019
Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo Avila Pires, Jean-Bastien Grill, Florent Altché, Rémi Munos


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Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning

Oct 22, 2018
Guillaume Devineau, Philip Polack, Florent Altché, Fabien Moutarde

* Published in the IEEE 2018 International Conference on Intelligent Transportation Systems (ITSC 2018) 

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An LSTM Network for Highway Trajectory Prediction

Jan 24, 2018
Florent Altché, Arnaud de La Fortelle

* Presented at IEEE ITSC 2017 

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Time-optimal Coordination of Mobile Robots along Specified Paths

Apr 05, 2017
Florent Altché, Xiangjun Qian, Arnaud de La Fortelle

* Published in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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A Distributed Model Predictive Control Framework for Road-Following Formation Control of Car-like Vehicles (Extended Version)

Apr 29, 2016
Xiangjun Qian, Florent Altché, Arnaud de La Fortelle, Fabien Moutarde

* Extended version of the conference paper submission on ICARCV'16 

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