Jean-Baptiste Mouret

According to our database1, Jean-Baptiste Mouret authored at least 96 papers between 2004 and 2021.

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

Timeline

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Bibliography

2021
Human Posture Prediction During Physical Human-Robot Interaction.
IEEE Robotics Autom. Lett., 2021

Signal-Based Self-Organization of a Chain of UAVs for Subterranean Exploration.
Frontiers Robotics AI, 2021

Prescient teleoperation of humanoid robots.
CoRR, 2021

2020
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials.
IEEE Trans. Robotics, 2020

Learning Robust Task Priorities and Gains for Control of Redundant Robots.
IEEE Robotics Autom. Lett., 2020

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature.
J. Mach. Learn. Res., 2020

Evolving the Behavior of Machines: From Micro to Macroevolution.
CoRR, 2020

Quality-Diversity Optimization: a novel branch of stochastic optimization.
CoRR, 2020

Automating Representation Discovery with MAP-Elites.
CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Quality diversity for multi-task optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Discovering representations for black-box optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Quality-diversity optimisation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning behaviour-performance maps with meta-evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning a Behavioral Repertoire from Demonstrations.
Proceedings of the IEEE Conference on Games, 2020

2019
Adaptive Prior Selection for Repertoire-Based Online Adaptation in Robotics.
Frontiers Robotics AI, 2019

Adaptive Prior Selection for Repertoire-based Online Learning in Robotics.
CoRR, 2019

Evolving embodied intelligence from materials to machines.
CoRR, 2019

Humanoid Whole-Body Movement Optimization from Retargeted Human Motions.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

MAP-Elites for noisy domains by adaptive sampling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Are quality diversity algorithms better at generating stepping stones than objective-based search?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm.
IEEE Trans. Evol. Comput., 2018

Reset-free Trial-and-Error Learning for Robot Damage Recovery.
Robotics Auton. Syst., 2018

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization.
J. Open Source Softw., 2018

Data-Efficient Design Exploration through Surrogate-Assisted Illumination.
Evol. Comput., 2018

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Discovering the elite hypervolume by leveraging interspecies correlation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Data-efficient neuroevolution with kernel-based surrogate models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolutionary robotics tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Alternating Optimisation and Quadrature for Robust Control.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Soft tensegrity robots.
CoRR, 2017

Feature Space Modeling Through Surrogate Illumination.
CoRR, 2017

Introduction to the Evolution of Physical Systems Special Issue.
Artif. Life, 2017

Black-box data-efficient policy search for robotics.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Trial-and-error learning of repulsors for humanoid QP-based whole-body control.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

A comparison of illumination algorithms in unbounded spaces.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing multimodal optimization and illumination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

20 years of reality gap: a few thoughts about simulators in evolutionary robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
The Evolutionary Origins of Hierarchy.
PLoS Comput. Biol., 2016

Micro-Data Learning: The Other End of the Spectrum.
ERCIM News, 2016

Evolving a Behavioral Repertoire for a Walking Robot.
Evol. Comput., 2016

Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations.
CoRR, 2016

Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors.
CoRR, 2016

Limbo: A Fast and Flexible Library for Bayesian Optimization.
CoRR, 2016

Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery.
CoRR, 2016

Towards semi-episodic learning for robot damage recovery.
CoRR, 2016

How do Different Encodings Influence the Performance of the MAP-Elites Algorithm?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills.
PLoS Comput. Biol., 2015

Robots that can adapt like animals.
Nat., 2015

A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm.
J. Artif. Soc. Soc. Simul., 2015

Evolvability signatures of generative encodings: Beyond standard performance benchmarks.
Inf. Sci., 2015

Evolutionary Robotics: What, Why, and Where to.
Frontiers Robotics AI, 2015

Illuminating search spaces by mapping elites.
CoRR, 2015

Tutorial on Evolutionary Robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary Adaptation in Natural and Artificial Systems.
, 2015

2014
Artificial Evolution of Plastic Neural Networks: A Few Key Concepts.
Proceedings of the Growing Adaptive Machines, 2014

Beyond black-box optimization: a review of selective pressures for evolutionary robotics.
Evol. Intell., 2014

Robots that can adapt like natural animals.
CoRR, 2014

Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
The Transferability Approach: Crossing the Reality Gap in Evolutionary Robotics.
IEEE Trans. Evol. Comput., 2013

Fast damage recovery in robotics with the T-resilience algorithm.
Int. J. Robotics Res., 2013

Crossing the Reality Gap: a Short Introduction to the Transferability Approach.
CoRR, 2013

Learning to Walk in Every Direction.
CoRR, 2013

High resilience in robotics with a multi-objective evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Behavioral repertoire learning in robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Summary of "the evolutionary origins of modularity".
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Behavioral diversity with multiple behavioral distances.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study.
Evol. Comput., 2012

The evolutionary origins of modularity
CoRR, 2012

Dynamic behavioral diversity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evo-devo-robo workshop program.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Stochastic optimization of a chain sliding mode controller for the mobile robot maneuvering.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

On the relationships between synaptic plasticity and generative systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

How to promote generalisation in evolutionary robotics: the ProGAb approach.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Online adaptation of locomotion with evolutionary algorithms: a transferability-based approach.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Using a map-based encoding to evolve plastic neural networks.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010
Stochastic optimization of a neural network-based controller for aggressive maneuvers on loose surfaces.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Crossing the reality gap in evolutionary robotics by promoting transferable controllers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Sferesv2: Evolvin' in the multi-core world.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Behavioral diversity measures for Evolutionary Robotics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Single step evolution of robot controllers for sequential tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Influence of Promoter Length on Network Convergence in GRN-Based Evolutionary Algorithms.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Evolving modular neural-networks through exaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Automatic system identification based on coevolution of models and tests.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars.
Evol. Intell., 2008

Incremental Evolution of Animats' Behaviors as a Multi-objective Optimization.
Proceedings of the From Animals to Animats 10, 2008

2006
Incremental Evolution of Target-Following Neuro-controllers for Flapping-Wing Animats.
Proceedings of the From Animals to Animats 9, 2006

2004
Fast Road Network Extraction in Satellite Images Using Mathematical Morphology and Markov Random Fields.
EURASIP J. Adv. Signal Process., 2004


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