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Erwan Renaudo
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Books and Theses
- 2016
- [b1]Erwan Renaudo:
Des comportements flexibles aux comportements habituels : meta-apprentissage neuro-inspiré pour la robotique autonome. (From flexible to habitual behaviors : neuro-inspired meta-learning for autonomous robots). Pierre and Marie Curie University, Paris, France, 2016
Journal Articles
- 2023
- [j5]Rémi Dromnelle, Erwan Renaudo, Mohamed Chetouani, Petros Maragos, Raja Chatila, Benoît Girard, Mehdi Khamassi:
Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture. Int. J. Soc. Robotics 15(8): 1297-1323 (2023) - 2022
- [j4]Erwan Renaudo, Philipp Zech, Raja Chatila, Mehdi Khamassi:
Editorial: Computational models of affordance for robotics. Frontiers Neurorobotics 16 (2022) - [j3]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022) - 2019
- [j2]Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater:
Action representations in robotics: A taxonomy and systematic classification. Int. J. Robotics Res. 38(5) (2019) - 2018
- [j1]Raja Chatila, Erwan Renaudo, Mihai Andries, Ricardo Omar Chávez García, Pierre Luce-Vayrac, Raphaël Gottstein, Rachid Alami, Aurélie Clodic, Sandra Devin, Benoît Girard, Mehdi Khamassi:
Toward Self-Aware Robots. Frontiers Robotics AI 5: 88 (2018)
Conference and Workshop Papers
- 2022
- [c8]Cristof Rojas, Antonio Jose Rodríguez-Sánchez, Erwan Renaudo:
Deep Learning for Fast Segmentation of E-waste Devices' Inner Parts in a Recycling Scenario. ICPRAI (1) 2022: 161-172 - 2020
- [c7]Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi:
How to Reduce Computation Time While Sparing Performance During Robot Navigation? A Neuro-Inspired Architecture for Autonomous Shifting Between Model-Based and Model-Free Learning. Living Machines 2020: 68-79 - [c6]Simon Haller-Seeber, Erwan Renaudo, Philipp Zech, Florian Westreicher, Markus Walzthöni, Stefan Strappler, Cornelia Vidovic, Justus H. Piater:
ROSSINI: RobOt kidS deSIgn thiNkIng. RiE 2020: 16-25 - [c5]Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi:
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. RO-MAN 2020: 612-617 - [c4]Erenus Yildiz, Tobias Brinker, Erwan Renaudo, Jakob J. Hollenstein, Simon Haller-Seeber, Justus H. Piater, Florentin Wörgötter:
A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. ROBOVIS 2020: 17-27 - 2015
- [c3]Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi:
Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. BICA 2015: 178-184 - [c2]Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi:
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots? ICDL-EPIROB 2015: 254-260 - 2014
- [c1]Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi:
Design of a Control Architecture for Habit Learning in Robots. Living Machines 2014: 249-260
Editorship
- 2021
- [e1]Matteo Saveriano, Erwan Renaudo, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Human-Friendly Robotics 2020 - 13th International Workshop, HFR 2020, Innsbruck, Austria, October 2020. Springer Proceedings in Advanced Robotics 18, Springer 2021, ISBN 978-3-030-71355-3 [contents]
Informal and Other Publications
- 2024
- [i7]Marko Zaric, Jakob J. Hollenstein, Justus H. Piater, Erwan Renaudo:
Unsupervised Learning of Effective Actions in Robotics. CoRR abs/2404.02728 (2024) - 2022
- [i6]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR abs/2206.03787 (2022) - 2020
- [i5]Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi:
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning. CoRR abs/2004.14698 (2020) - [i4]Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi:
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. CoRR abs/2005.03987 (2020) - [i3]Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater:
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR abs/2010.12974 (2020) - [i2]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR abs/2010.15533 (2020) - 2018
- [i1]Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater:
Action Representations in Robotics: A Taxonomy and Systematic Classification. CoRR abs/1809.04317 (2018)
Coauthor Index
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