Search Results for author: Marin Toromanoff

Found 5 papers, 2 papers with code

GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

no code implementations16 Nov 2021 Raphael Chekroun, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde

Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics.

CARLA MAP Leaderboard Continuous Control +1

Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field

1 code implementation13 Aug 2019 Marin Toromanoff, Emilie Wirbel, Fabien Moutarde

In the Arcade Learning Environment (ALE), small changes in environment parameters such as stochasticity or the maximum allowed play time can lead to very different performance.

Atari Games General Reinforcement Learning +2

End to End Vehicle Lateral Control Using a Single Fisheye Camera

no code implementations20 Aug 2018 Marin Toromanoff, Emilie Wirbel, Frédéric Wilhelm, Camilo Vejarano, Xavier Perrotton, Fabien Moutarde

Experiments are conducted on a custom dataset corresponding to more than 10000 km and 200 hours of open road driving.

End-to-End Race Driving with Deep Reinforcement Learning

no code implementations6 Jul 2018 Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi

We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding).

Domain Adaptation Object Recognition +3

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