Nature's cover

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


  • J.-B Mouret, J. Clune (2015). Illuminating search spaces by mapping elites. arXiv preprint. [url]
  • 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]


  • J. Rieffel*, J.-B Mouret* (2018). Soft Tensegrity Robots. Soft Robotics. (* J. Rieffel and J.-B. Mouret contributed equallyto this work). [pdf] [url] [source code] [video]
  • V. Vassiliades, K. Chatzilygeroudis, J.-B Mouret (2017). Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm. IEEE Transactions on Evolutionary Computation. [doi] [pdf] [url] [source code]
  • K. Chatzilygeroudis, V. Vassiliades, J.-B Mouret (2017). Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics and Autonomous Systems. 1-19. Elsevier. [doi] [pdf] [url] [source code] [video]
  • A. Cully, J. Clune, D. Tarapore, J.-B Mouret (2015). Robots that can adapt like animals. Nature. 521. (7553) 503-507. Nature Publishing Group. [doi] [pdf] [url] [source code] [video] [video]

Peer-reviewed conferences

  • S. Paul, K. Chatzilygeroudis, K. Ciosek, J.-B Mouret, M. Osborne, S. Whiteson (2018). Alternating Optimisation and Quadrature for Robust Control. AAAI 2018 - The Thirty-Second AAAI Conference on Artificial Intelligence [pdf] [url]
  • R. Pautrat, K. Chatzilygeroudis, J.-B Mouret (2018). Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search. IEEE International Conference on Robotics and Automation (ICRA) [pdf] [url] [video]
  • K. Chatzilygeroudis, J.-B Mouret (2018). Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics. IEEE International Conference on Robotics and Automation (ICRA) [pdf] [url] [video]
  • V. Vassiliades, J.-B Mouret (2018). Discovering the Elite Hypervolume by Leveraging Interspecies Correlation. Proc. of GECCO [doi] [pdf] [url]
  • A. Gaier, A. Asteroth, J.-B Mouret (2018). Data-efficient Neuroevolution with Kernel-Based Surrogate Models. Proc. of GECCO [doi] [pdf] [url]
  • A. Gaier, A. Asteroth, J.-B Mouret (2017). Aerodynamic Design Exploration through Surrogate-Assisted Illumination. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (best student paper) [doi] [pdf]
  • A. Gaier, A. Asteroth, J.-B Mouret (2017). Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination. Proc. of GECCO [doi] [pdf] [url]
  • K. Chatzilygeroudis, R. Rama, R. Kaushik, D. Goepp, V. Vassiliades, J.-B Mouret (2017). Black-Box Data-efficient Policy Search for Robotics. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) [pdf] [url] [source code] [video]
  • J. Spitz, K. Bouyarmane, S. Ivaldi, J.-B Mouret (2017). Trial-and-Error Learning of Repulsors for Humanoid QP-based Whole-Body Control. Proc. of IEEE Humanoids [pdf] [url] [video]
  • D. Tarapore, J. Clune, A. Cully, J.-B Mouret (2016). How Do Different Encodings Influence the Performance of the MAP-Elites Algorithm?. Proc. of GECCO ACM. [doi] [pdf] [url] [source code]

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.