Erwan Renaudo

Orcid: 0000-0003-3282-8972

According to our database1, Erwan Renaudo authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture.
Int. J. Soc. Robotics, August, 2023

2022
Editorial: Computational models of affordance for robotics.
Frontiers Neurorobotics, September, 2022

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance.
Trans. Mach. Learn. Res., 2022

Deep Learning for Fast Segmentation of E-waste Devices' Inner Parts in a Recycling Scenario.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2020
How do Offline Measures for Exploration in Reinforcement Learning behave?
CoRR, 2020

Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search.
CoRR, 2020

A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines.
Proceedings of the International Conference on Robotics, 2020

Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

ROSSINI: RobOt kidS deSIgn thiNkIng.
Proceedings of the Robotics in Education - Methodologies and Technologies, Proceedings of the 11th RiE 2020, Virtual Event / Bratislava, Slovak Republic, September 30, 2020

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.
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

2019
Action representations in robotics: A taxonomy and systematic classification.
Int. J. Robotics Res., 2019

2018
Toward Self-Aware Robots.
Frontiers Robotics AI, 2018

2016
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).
PhD thesis, 2016

2015
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture.
Proceedings of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, 2015

2014
Design of a Control Architecture for Habit Learning in Robots.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014


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