no code implementations • 16 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.
Ranked #3 on CARLA MAP Leaderboard on CARLA
1 code implementation • CVPR 2020 • Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
To our knowledge we are the first to present a successful RL agent handling such a complex task especially regarding the traffic light detection.
Ranked #9 on Autonomous Driving on CARLA Leaderboard
1 code implementation • 13 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.
no code implementations • 20 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.
no code implementations • 6 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).