Publications

Highlights

Nature's cover

Cully A., Clune J., Tarapore D., and Mouret JB. (2015) Robots that can adapt like animals.* Nature. 521.7553, (cover article)

Preprints

  • Chatzilygeroudis K., and Mouret JB., (2017). Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics. arXiv preprint arXiv:1709.06917 . [pdf | video]
  • Pautrat R., Chatzilygeroudis K., and Mouret JB., (2017). Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search. arXiv preprint arXiv:1709.06919. [pdf | video][github] – A short version of this paper was presented at the 1st Conference on Robot Learning (CoRL) 2017.
  • Cully A., Chatzilygeroudis K., Allocati F., and Mouret JB., (2016). Limbo: A Fast and Flexible Library for Bayesian Optimization. arXiv preprint arXiv:1611.07343. [pdf][github]

Journals

Peer-reviewed conferences

  • Supratik P., Chatzilygeroudis K., Ciosek K., Mouret JB., Osborne M., and Whiteson Sh. (2018). Alternating Optimisation and Quadrature for Robust Control. Proc. of AAAI Conference on Artificial Intelligence. [pdf]
  • Spitz J., Bouyarmane K., Ivaldi S., and Mouret JB. (2017). Trial-and-Error Learning of Repulsors for Humanoid QP-based Whole-Body Control. Proc. of IEEE Humanoids. [pdf | video]
  • Chatzilygeroudis K., Rama R., Kaushik R., Goepp D., Vassiliades V., and Mouret JB. (2017). Black-box Data-efficient Policy Search for Robotics. Proc. of IEEE IROS. [pdf | video][github]
  • Gaier, A., Asteroth, A., and Mouret JB. (2017). Aerodynamic Design Exploration through Surrogate-Assisted Illumination. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Best student paper [pdf]
  • Gaier, A., Asteroth, A., and Mouret JB. (2017) Feature Space Modeling Through Surrogate Illumination. In Proc. of Genetic and Evolutionary Computation Conference (GECCO). Best paper of the GDS track [pdf]
  • Tarapore D., Clune J., Cully A., and Mouret JB. (2016). How Do Different Encodings Influence the Performance of the MAP-Elites Algorithm?. In Proc. of Genetic and Evolutionary Computation Conference (GECCO). [pdf][github]

Position papers

  • Mouret, JB. “Micro-Data Learning: The Other End of the Spectrum.” ERCIM News 107 (2016): 2. [pdf]

Workshops and minimally-reviewed publications

  • Vassiliades V., Chatzilygeroudis K., and Mouret JB. (2017). A comparison of illumination algorithms in unbounded spaces. Workshop “Measuring and Promoting Diversity in Evolutionary Algorithms”, Genetic and Evolutionary Computation Conference. [pdf]
  • Mouret JB., and Chatzilygeroudis K. (2017). 20 Years of Reality Gap: a few Thoughts about Simulators in Evolutionary Robotics. Workshop “Simulation in Evolutionary Robotics”, Genetic and Evolutionary Computation Conference. [pdf]
  • Papaspyros V., Chatzilygeroudis K., Vassiliades V., and Mouret JB. (2016). Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. Proc. Of the NIPS 2016 workshop on Bayesian Optimization. [pdf][video]
  • Chatzilygeroudis K., Cully A., and Mouret JB. (2016). Towards semi-episodic learning for robot damage recovery. Workshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation. [pdf][video]

See JB Mouret’s webpage.