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Marin Toromanoff
Marin Toromanoff
PhD Student, Mines ParisTech
Bestätigte E-Mail-Adresse bei mines-paristech.fr
Titel
Zitiert von
Zitiert von
Jahr
End-to-end model-free reinforcement learning for urban driving using implicit affordances
M Toromanoff, E Wirbel, F Moutarde
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2372020
End-to-end race driving with deep reinforcement learning
M Jaritz, R De Charette, M Toromanoff, E Perot, F Nashashibi
2018 IEEE international conference on robotics and automation (ICRA), 2070-2075, 2018
2222018
End-to-end driving in a realistic racing game with deep reinforcement learning
E Perot, M Jaritz, M Toromanoff, R De Charette
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1022017
Gri: General reinforced imitation and its application to vision-based autonomous driving
R Chekroun, M Toromanoff, S Hornauer, F Moutarde
Robotics 12 (5), 127, 2023
582023
Is deep reinforcement learning really superhuman on atari? leveling the playing field
M Toromanoff, E Wirbel, F Moutarde
arXiv preprint arXiv:1908.04683, 2019
512019
End to end vehicle lateral control using a single fisheye camera
M Toromanoff, E Wirbel, F Wilhelm, C Vejarano, X Perrotton, F Moutarde
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
412018
MBAPPE: MCTS-built-around prediction for planning explicitly
R Chekroun, T Gilles, M Toromanoff, S Hornauer, F Moutarde
2024 IEEE Intelligent Vehicles Symposium (IV), 2062-2069, 2024
82024
Deep Reinforcement Learning for autonomous driving
M Toromanoff, E Wirbel, F Moutarde
Workshop on" CARLA Autonomous Driving challenge", IEEE Int. Conf. on …, 2019
32019
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
R Chekroun, H Wang, J Lee, M Toromanoff, S Hornauer, F Moutarde, ...
arXiv preprint arXiv:2402.05663, 2024
2024
MCTS-Built-Around Predictions for Planning Explicitly
R Chekroun, T Gilles, M Toromanoff, F Moutarde
Workshop Valeo AI Days, 2023
2023
End-to-end autonomous driving using deep reinforcement learning
M Toromanoff
Université Paris sciences et lettres, 2021
2021
Apprentissage par renforcement du contrôle d’un véhicule autonome à partir de la vision
M Toromanoff
Université Paris sciences et lettres, 2021
2021
MBAPPE
R Chekroun, T Gilles, M Toromanoff, F Moutarde
Supplementary materials: End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
M Toromanoff, E Wirbel, F Moutarde
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