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., Rama R., Kaushik R., Goepp D., Vassiliades V., and Mouret JB. (2017). Black-Box Data-efficient Policy Search for Robotics. arXiv preprint arXiv:1703.07261. [pdf]
  • Chatzilygeroudis K., Vassiliades V., and Mouret JB. (2016). Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery. arXiv preprint arXiv:1610.04213. [pdf]
  • 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]
  • Vassiliades V., Chatzilygeroudis K., and Mouret JB. (2016). Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. arXiv preprint arXiv:1610.05729 (2016). [pdf] [sferes module | experiments]

Journals

Conferences

  • Gaier, A., Asteroth, A., and Mouret JB. (2017) Feature Space Modeling Through Surrogate Illumination. In Proc. of Genetic and Evolutionary Computation Conference (GECCO). [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]

Workshops

  • 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 2016. [pdf][video]

See JB Mouret’s webpage.