no code implementations • 6 May 2022 • Achkan Salehi, Alexandre Coninx, Stephane Doncieux
An argument that is often encountered in the literature is that the archive prevents exploration from backtracking or cycling, i. e. from revisiting previously encountered areas in the behavior space.
1 code implementation • 14 Sep 2021 • Achkan Salehi, Alexandre Coninx, Stephane Doncieux
Experiments carried in both sparse and dense reward settings using robotic manipulation and navigation benchmarks show that it considerably reduces the number of generations that are required for QD optimization in these environments.
1 code implementation • 8 Apr 2021 • Achkan Salehi, Alexandre Coninx, Stephane Doncieux
In this paper, we discuss an alternative approach to novelty estimation, dubbed Behavior Recognition based Novelty Search (BR-NS), which does not require an archive, makes no assumption on the metrics that can be defined in the behavior space and does not rely on nearest neighbours search.
1 code implementation • 5 Feb 2021 • Giuseppe Paolo, Alexandre Coninx, Stephane Doncieux, Alban Laflaquière
Contrary to existing emitters-based approaches, SERENE separates the search space exploration and reward exploitation into two alternating processes.
2 code implementations • 13 May 2020 • Stephane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
Evolvability is thus a natural byproduct of the search in this context.
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 • 15 Sep 2019 • Astrid Merckling, Alexandre Coninx, Loic Cressot, Stéphane Doncieux, Nicolas Perrin-Gilbert
Indeed, a compact representation of such a state is beneficial to help robots grasp onto their environment for interacting.
1 code implementation • 12 Sep 2019 • Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stephane Doncieux
Results show that TAXONS can find a diverse set of controllers, covering a good part of the ground-truth outcome space, while having no information about such space.
no code implementations • 11 Mar 2019 • Leni K. Le Goff, Oussama Yaakoubi, Alexandre Coninx, Stephane Doncieux
Robots need to understand their environment to perform their task.
1 code implementation • 30 Jan 2019 • Léni K. Le Goff, Ghanim Mukhtar, Alexandre Coninx, Stéphane Doncieux
A robot with the ability to build and adapt this interpretation process according to its own tasks and capabilities would push away the limits of what robots can achieve in a non controlled environment.
no code implementations • 3 Jan 2019 • Seungsu Kim, Alexandre Coninx, Stephane Doncieux
The approach has been validated on two different experiments on the Baxter robot: a ball launching and a joystick manipulation tasks.
no code implementations • 14 Sep 2016 • Alexandre Coninx, Pierre Bessière, Jacques Droulez
Reconstruction of the tridimensional geometry of a visual scene using the binocular disparity information is an important issue in computer vision and mobile robotics, which can be formulated as a Bayesian inference problem.