
Fast Online Adaptation in Robotics through MetaLearning Embeddings of Simulated Priors
Metalearning algorithms can accelerate the modelbased reinforcement le...
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Signalbased selforganization of a chain of UAVs for subterranean exploration
Miniature multirotors are promising robots for navigating subterranean ...
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Quality Diversity for Multitask Optimization
Quality Diversity (QD) algorithms are a recent family of optimization al...
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Automating Representation Discovery with MAPElites
The way solutions are represented, or encoded, is usually the result of ...
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Adaptive Prior Selection for Repertoirebased Online Learning in Robotics
Among the dataefficient approaches for online adaptation in robotics (m...
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Learning a Behavioral Repertoire from Demonstrations
Imitation Learning (IL) is a machine learning approach to learn a policy...
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Evolving embodied intelligence from materials to machines
Natural lifeforms specialise to their environmental niches across many l...
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A survey on policy search algorithms for learning robot controllers in a handful of trials
Most policy search algorithms require thousands of training episodes to ...
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Multiobjective Modelbased Policy Search for Dataefficient Learning with Sparse Rewards
The most dataefficient algorithms for reinforcement learning in robotic...
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DataEfficient Design Exploration through SurrogateAssisted Illumination
Design optimization techniques are often used at the beginning of the de...
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Dataefficient Neuroevolution with KernelBased Surrogate Models
Surrogateassistance approaches have long been used in computationally e...
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Discovering the Elite Hypervolume by Leveraging Interspecies Correlation
Evolution has produced an astonishing diversity of species, each filling...
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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Biological evolution provides a creative fount of complex and subtle ada...
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Bayesian Optimization with Automatic Prior Selection for DataEfficient Direct Policy Search
One of the most interesting features of Bayesian optimization for direct...
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Using Parameterized BlackBox Priors to Scale Up ModelBased Policy Search for Robotics
The most dataefficient algorithms for reinforcement learning in robotic...
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DataEfficient Exploration, Optimization, and Modeling of Diverse Designs through SurrogateAssisted Illumination
The MAPElites algorithm produces a set of highperforming solutions tha...
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Limbo: A Fast and Flexible Library for Bayesian Optimization
Limbo is an opensource C++11 library for Bayesian optimization which is...
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Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm
The recently introduced Multidimensional Archive of Phenotypic Elites (...
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Resetfree TrialandError Learning for Robot Damage Recovery
The high probability of hardware failures prevents many advanced robots ...
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Towards semiepisodic learning for robot damage recovery
The recently introduced Intelligent Trial and Error algorithm (IT&E) ena...
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MicroData Learning: The Other End of the Spectrum
Many fields are now snowed under with an avalanche of data, which raises...
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Alternating Optimisation and Quadrature for Robust Control
Bayesian optimisation has been successfully applied to a variety of rein...
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The evolutionary origins of hierarchy
Hierarchical organization  the recursive composition of submodules ...
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Illuminating search spaces by mapping elites
Many fields use search algorithms, which automatically explore a search ...
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Robots that can adapt like animals
As robots leave the controlled environments of factories to autonomously...
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Fast Damage Recovery in Robotics with the TResilience Algorithm
Damage recovery is critical for autonomous robots that need to operate f...
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The evolutionary origins of modularity
A central biological question is how natural organisms are so evolvable ...
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JeanBaptiste Mouret
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Director of Research at Inria since 2017, Research Scientist (Robotics/Machine learning) at INRIA since 2015, Assistant Professor (AI & Robotics) at UPMC  Sorbonne Universities from 20082015, Visiting professorat Technical University Darmstadt (Intelligent and Autonomous Systems) 2014, Visiting professor at Cornell University (Cornell Creative Machines Lab) 20112012, Visiting professor at University of Vermont 2010.