A distributed MPC framework for road-following formation control of car-like vehicles. - Xiangjun Qian; Florent Altché; Arnaud de La Fortelle; Fabien Moutarde (ICARCV, 2016)

Time-optimal coordination of mobile robots along specified paths. - Florent Altché; Xiangjun Qian; Arnaud de La Fortelle (IROS, 2016)

Least restrictive and minimally deviating supervisor for Safe semi-autonomous driving at an intersection: An MIQP approach. - Florent Altché; Xiangjun Qian; Arnaud de La Fortelle (ITSC, 2016)

Optimal trajectory planning for autonomous driving integrating logical constraints: An MIQP perspective. - Xiangjun Qian; Florent Altché; Philipp Bender; Christoph Stiller; Arnaud de La Fortelle (ITSC, 2016)

Analysis of optimal solutions to robot coordination problems to improve autonomous intersection management policies. - Florent Altché; Arnaud de La Fortelle (Intelligent Vehicles Symposium, 2016)

A Distributed Model Predictive Control Framework for Road-Following Formation Control of Car-like Vehicles (Extended Version). - Xiangjun Qian; Florent Altché; Arnaud de La Fortelle; Fabien Moutarde (CoRR, 2016)

Partitioning of the free space-time for on-road navigation of autonomous ground vehicles. - Florent Altché; Arnaud de La Fortelle (CDC, 2017)

An LSTM network for highway trajectory prediction. - Florent Altché; Arnaud de La Fortelle (ITSC, 2017)

High-speed trajectory planning for autonomous vehicles using a simple dynamic model. - Florent Altché; Philip Polack; Arnaud de La Fortelle (ITSC, 2017)

A simple dynamic model for aggressive, near-limits trajectory planning. - Florent Altché; Philip Polack; Arnaud de La Fortelle (Intelligent Vehicles Symposium, 2017)

The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles? - Philip Polack; Florent Altché; Brigitte d'Andréa-Novel; Arnaud de La Fortelle (Intelligent Vehicles Symposium, 2017)

An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles (Extended). - Florent Altché; Xiangjun Qian; Arnaud de La Fortelle (CoRR, 2017)

An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles. - Florent Altché; Xiangjun Qian; Arnaud de La Fortelle (IEEE Trans. Intell. Transp. Syst., 2017)

Guaranteeing Consistency in a Motion Planning and Control Architecture Using a Kinematic Bicycle Model. - Philip Polack; Florent Altché; Brigitte d'Andréa-Novel; Arnaud de La Fortelle (ACC, 2018)

Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning. - Guillaume Devineau; Philip Polack; Florent Altché; Fabien Moutarde (ITSC, 2018)

A Real-time Safe Planning and Control Architecture for Autonomous Driving Adapting to Slippery Roads. - Philip Polack; Florent Altché; Brigitte d'Andréa-Novel; Arnaud de La Fortelle (ITSC, 2018)

Decision-based motion planning for cooperative and autonomous vehicles. (Prise de décision et planification de trajectoire pour les véhicules coopératifs et autonomes). - Florent Altché (2018)

World Discovery Models. - Mohammad Gheshlaghi Azar; Bilal Piot; Bernardo A. Pires; Jean-Bastien Grill; Florent Altché; Rémi Munos (CoRR, 2019)

Monte-Carlo Tree Search as Regularized Policy Optimization. - Jean-Bastien Grill; Florent Altché; Yunhao Tang; Thomas Hubert; Michal Valko; Ioannis Antonoglou; Rémi Munos (ICML, 2020)

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. - Zhaohan Daniel Guo; Bernardo Ávila Pires; Bilal Piot; Jean-Bastien Grill; Florent Altché; Rémi Munos; Mohammad Gheshlaghi Azar (ICML, 2020)

Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. - Jean-Bastien Grill; Florian Strub; Florent Altché; Corentin Tallec; Pierre H. Richemond; Elena Buchatskaya; Carl Doersch; Bernardo Ávila Pires; Zhaohan Guo; Mohammad Gheshlaghi Azar; Bilal Piot; Koray Kavukcuoglu; et al. (NeurIPS, 2020)

BYOL works even without batch statistics. - Pierre H. Richemond; Jean-Bastien Grill; Florent Altché; Corentin Tallec; Florian Strub; Andrew Brock; Samuel L. Smith; Soham De; Razvan Pascanu; Bilal Piot; Michal Valko (CoRR, 2020)

Broaden Your Views for Self-Supervised Video Learning. - Adrià Recasens; Pauline Luc; Jean-Baptiste Alayrac; Luyu Wang; Florian Strub; Corentin Tallec; Mateusz Malinowski; Viorica Patraucean; Florent Altché; Michal Valko; Jean-Bastien Grill; Aäron van den Oord; et al. (ICCV, 2021)

Emergent Communication at Scale. - Rahma Chaabouni 001; Florian Strub; Florent Altché; Eugene Tarassov; Corentin Tallec; Elnaz Davoodi; Kory Wallace Mathewson; Olivier Tieleman; Angeliki Lazaridou; Bilal Piot (ICLR, 2022)

BYOL-Explore: Exploration by Bootstrapped Prediction. - Zhaohan Guo; Shantanu Thakoor; Miruna Pislar; Bernardo Ávila Pires; Florent Altché; Corentin Tallec; Alaa Saade; Daniele Calandriello; Jean-Bastien Grill; Yunhao Tang; Michal Valko; Rémi Munos; et al. (NeurIPS, 2022)

Self-conditioned Embedding Diffusion for Text Generation. - Robin Strudel; Corentin Tallec; Florent Altché; Yilun Du; Yaroslav Ganin; Arthur Mensch; Will Grathwohl; Nikolay Savinov; Sander Dieleman; Laurent Sifre; Rémi Leblond (CoRR, 2022)

Curiosity in hindsight. - Daniel Jarrett; Corentin Tallec; Florent Altché; Thomas Mesnard; Rémi Munos; Michal Valko (CoRR, 2022)

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. - Daniel Jarrett; Corentin Tallec; Florent Altché; Thomas Mesnard; Rémi Munos; Michal Valko (ICML, 2023)