Recherche - Mines Paris

Filtrer vos résultats

10 résultats
Page :
triés par
Image document

Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks

 Jesus Bujalance , Fabien Moutarde
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), May 2023, London, United Kingdom
Communication dans un congrès hal-04375346v1
Image document

Deep Reinforcement Learning and Learning from Demonstrations for Robot Manipulators

 Jesús Bujalance Martin
Robotics [cs.RO]. Université Paris sciences et lettres, 2024. English. ⟨NNT : 2024UPSLM022⟩
Thèse tel-04804036v1
Image document

Integrating Expert Knowledge with Deep Reinforcement Learning Methods for Autonomous Driving

 Raphaël Chekroun
Robotics [cs.RO]. Université Paris sciences et lettres, 2024. English. ⟨NNT : 2024UPSLM023⟩
Thèse tel-04804056v1
Image document

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

 Raphael Chekroun , Marin Toromanoff , Hornauer Sascha , Fabien Moutarde
Robotics, 2023, 12 (5), pp.127. ⟨10.3390/robotics12050127⟩
Article dans une revue hal-04375385v1
Image document

Management de l'imaginaire et nouvelles représentations

 Gilbert Giacomoni , Adel Aloui
Management & sciences sociales, 2019, Autour de l’innovation : adaptation et responsabilité, 26 (26), pp.4-21
Article dans une revue hal-02880931v1

Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews

 Luca Pinciroli , Piero Baraldi , Guido Ballabio , Michele Compare , Enrico Zio
Energies, 2021, 14 (20), pp.6743. ⟨10.3390/en14206743⟩
Article dans une revue hal-03481360v1

A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply

 Zhaojun Hao , Francesco Di Maio , Enrico Zio
Reliability Engineering and System Safety, 2023, 235, pp.109231. ⟨10.1016/j.ress.2023.109231⟩
Article dans une revue hal-04099955v1

GRIAD: General Reinforced Imitation for Autonomous Driving. Method ranked #1 and #4 in CARLA Challenge 2021

 R Chekroun , M Toromanoff , F Moutarde
NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, Dec 2021, Virtual, Canada
Communication dans un congrès hal-03683499v1
Image document

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

 Raphael Chekroun , Marin Toromanoff , Sascha Hornauer , Fabien Moutarde
NeurIPS 2021, Machine Learning for Autonomous Driving Workshop, Dec 2021, Virtual, United States
Communication dans un congrès hal-03442328v3
Image document

2D-3D scene understanding for autonomous driving

 Maximilian Jaritz
Machine Learning [cs.LG]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLM007⟩
Thèse tel-02921424v1
Page :