no code implementations • 25 Mar 2024 • Leo Cazenille, Nicolas Lobato-Dauzier, Alessia Loi, Mika Ito, Olivier Marchal, Nathanael Aubert-Kato, Nicolas Bredeche, Anthony J. Genot
Diffusion over a domain is mathematically encapsulated by the Laplacian, a linear operator that measures the local curvature of a function.
1 code implementation • 6 Feb 2024 • Maxime Toquebiau, Nicolas Bredeche, Faïz Benamar, Jae-Yun Jun
We demonstrate the strengths of this approach both in a synthetic environment designed to reveal shortcomings of state-of-the-art MADRL methods, and in simulated robotic tasks.
1 code implementation • 18 Jun 2021 • Anil Yaman, Nicolas Bredeche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Based on these findings, we hypothesized that meta-control of individual and social learning strategies provides effective and sample-efficient learning in volatile and uncertain environments.
1 code implementation • 11 Mar 2021 • Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche
This paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode.
no code implementations • 13 May 2020 • Stephane Doncieux, Nicolas Bredeche, Léni Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz-Rodríguez, David Filliat, Timothy Hospedales, A. Eiben, Richard Duro
Robots are still limited to controlled conditions, that the robot designer knows with enough details to endow the robot with the appropriate models or behaviors.
no code implementations • 1 Oct 2019 • Alexis Duburcq, Yann Chevaleyre, Nicolas Bredeche, Guilhem Boéris
Autonomous robots require online trajectory planning capability to operate in the real world.
1 code implementation • 1 Oct 2019 • Leo Cazenille, Nicolas Bredeche, Nathanael Aubert-Kato
Swarms of molecular robots are a promising approach to create specific shapes at the microscopic scale through self-assembly.
no code implementations • 22 Jul 2019 • Leo Cazenille, Nicolas Bredeche, José Halloy
During the last two decades, various models have been proposed for fish collective motion.
no code implementations • 9 Aug 2018 • Leo Cazenille, Nicolas Bredeche, José Halloy
These models are designed to be implementable as robot controllers to form mixed-groups of fish and robots, using few a priori knowledge of the fish behaviours.
no code implementations • 29 May 2018 • Leo Cazenille, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, Francesco Mondada, Nicolas Bredeche, Jose Halloy
The calibrated model is updated on the robot and tested during the experiments.
no code implementations • 26 Sep 2017 • Nicolas Bredeche, Evert Haasdijk, Abraham Prieto
This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution.