K. Chatzilygeroudis, V. Vassiliades, F. Stulp, S. Calinon, and J. Mouret, A survey on policy search algorithms for learning robot controllers in a handful of trials, 2018.

J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis et al., Learning agile and dynamic motor skills for legged robots, Science Robotics, vol.4, issue.26, 2019.
DOI : 10.1126/scirobotics.aau5872

URL : https://www.research-collection.ethz.ch/bitstream/20.500.11850/319675/2/ScienceRobotics_2019_arxiv%283%29.pdf

J. Tan, T. Zhang, E. Coumans, A. Iscen, Y. Bai et al., Sim-to-real: Learning agile locomotion for quadruped robots, Proceedings of RSS, 2018.
DOI : 10.15607/rss.2018.xiv.010

URL : https://doi.org/10.15607/rss.2018.xiv.010

S. Koos, J. Mouret, and S. Doncieux, The transferability approach: Crossing the reality gap in evolutionary robotics, IEEE Transactions on Evolutionary Computation, vol.17, issue.1, pp.122-145, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00687617

K. Chatzilygeroudis and J. Mouret, Using parameterized blackbox priors to scale up model-based policy search for robotics, Proc. of IEEE ICRA, 2018.
DOI : 10.1109/icra.2018.8461083

URL : https://hal.archives-ouvertes.fr/hal-01768285

A. Cully, J. Clune, D. Tarapore, and J. Mouret, Robots that can adapt like animals, Nature, vol.521, issue.7553, p.503, 2015.
DOI : 10.1038/nature14422

URL : https://hal.archives-ouvertes.fr/hal-01158243

R. Pautrat, K. Chatzilygeroudis, and J. Mouret, Bayesian optimization with automatic prior selection for data-efficient direct policy search, Proc. of IEEE ICRA, pp.7571-7578, 2018.
DOI : 10.1109/icra.2018.8463197

URL : https://hal.archives-ouvertes.fr/hal-01768279

T. Haarnoja, A. Zhou, S. Ha, J. Tan, G. Tucker et al., Learning to walk via deep reinforcement learning, 2018.

J. Mouret and J. Clune, Illuminating search spaces by mapping elites, 2015.

V. Vassiliades, K. Chatzilygeroudis, and J. Mouret, Using centroidal Voronoi tessellations to scale up the multidimensional archive of phenotypic elites algorithm, IEEE Transactions on Evolutionary Computation, vol.22, issue.4, pp.623-630, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01630627

C. K. Williams and C. E. Rasmussen, Gaussian processes for machine learning, vol.2, 2006.

B. Shahriari, K. Swersky, Z. Wang, R. P. Adams, and N. Freitas, Taking the human out of the loop: A review of bayesian optimization, Proceedings of the IEEE, vol.104, issue.1, pp.148-175, 2016.