Search Results for author: Florent Altché

Found 10 papers, 7 papers with code

Monte-Carlo Tree Search as Regularized Policy Optimization

3 code implementations ICML 2020 Jean-bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos

The combination of Monte-Carlo tree search (MCTS) with deep reinforcement learning has led to significant advances in artificial intelligence.

reinforcement-learning

World Discovery Models

1 code implementation20 Feb 2019 Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo Avila Pires, Jean-bastien Grill, Florent Altché, Rémi Munos

As humans we are driven by a strong desire for seeking novelty in our world.

Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning

no code implementations22 Oct 2018 Guillaume Devineau, Philip Polack, Florent Altché, Fabien Moutarde

This paper explores the capability of deep neural networks to capture key characteristics of vehicle dynamics, and their ability to perform coupled longitudinal and lateral control of a vehicle.

An LSTM Network for Highway Trajectory Prediction

no code implementations24 Jan 2018 Florent Altché, Arnaud de La Fortelle

In order to drive safely and efficiently on public roads, autonomous vehicles will have to understand the intentions of surrounding vehicles, and adapt their own behavior accordingly.

Autonomous Vehicles Trajectory Prediction

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