Y. Bengio, Towards more hardware-friendly deep learning, Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture) - TiML '17, vol.7, pp.1-20, 2017.

J. C. Bongard, Morphological and environmental scaffolding synergize when evolving robot controllers, Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11, pp.179-186, 2011.

A. Clark and C. Thornton, Trading spaces: Computation, representation, and the limits of uninformed learning, Behavioral and Brain Sciences, vol.20, issue.1, pp.57-66, 1997.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002.

P. Delarboulas, M. Schoenauer, and M. Sebag, Open-Ended Evolutionary Robotics: An Information Theoretic Approach, Parallel Problem Solving from Nature, PPSN XI, pp.334-343, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00494237

S. Doncieux, Transfer learning for direct policy search: A reward shaping approach, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2013.
URL : https://hal.archives-ouvertes.fr/hal-02987427

S. Doncieux and J. Mouret, Behavioral diversity with multiple behavioral distances, 2013 IEEE Congress on Evolutionary Computation, pp.1427-1434, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01300703

S. Doncieux and J. Mouret, Beyond black-box optimization: a review of selective pressures for evolutionary robotics, Evolutionary Intelligence, vol.7, issue.2, pp.71-93, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01150254

M. Dorigo and M. Colombetti, Robot shaping: developing autonomous agents through learning, Artificial Intelligence, vol.71, issue.2, pp.321-370, 1994.

D. Floreano, P. Dürr, and C. Mattiussi, Neuroevolution: from architectures to learning, Evolutionary Intelligence, vol.1, issue.1, pp.47-62, 2008.

J. Kodjabachian and J. A. Meyer, Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects, IEEE Transactions on Neural Networks, vol.9, issue.5, pp.796-812, 1998.
URL : https://hal.archives-ouvertes.fr/hal-01184992

G. D. Konidaris and A. Barto, Autonomous shaping, Proceedings of the 23rd international conference on Machine learning - ICML '06, pp.489-496, 2006.

M. G. Madden and T. Howley, Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty, Artificial Intelligence Review, vol.21, issue.3/4, pp.375-398, 2004.

M. Mataric, Reward Functions for Accelerated Learning, Machine Learning Proceedings 1994, pp.181-189, 1994.

J. Mouret and S. Doncieux, Incremental Evolution of Animats? Behaviors as a Multi-objective Optimization, Lecture Notes in Computer Science, vol.10, pp.210-219
URL : https://hal.archives-ouvertes.fr/hal-00687647

J. Mouret and S. Doncieux, Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study, Evolutionary Computation, vol.20, issue.1, pp.91-133, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00687609

J. Mugan and B. Kuipers, Autonomous Learning of High-Level States and Actions in Continuous Environments, IEEE Transactions on Autonomous Mental Development, vol.4, issue.1, pp.70-86, 2012.

M. Muja and D. Lowe, FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION, Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, pp.331-340, 2009.

C. Ollion and S. Doncieux, Why and how to measure exploration in behavioral space, Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11, pp.267-294, 2011.
URL : https://hal.archives-ouvertes.fr/hal-02987430

S. J. Pan and Q. Yang, A Survey on Transfer Learning, IEEE Transactions on Knowledge and Data Engineering, vol.22, issue.10, pp.1345-1359, 2010.

N. J. Radcliffe, Genetic set recombination and its application to neural network topology optimisation, Neural Computing & Applications, vol.1, issue.1, pp.67-90, 1993.

K. O. Stanley and R. Miikkulainen, Evolving Neural Networks through Augmenting Topologies, Evolutionary Computation, vol.10, issue.2, pp.99-127, 2002.

M. Taylor and P. Stone, Transfer between Different Reinforcement Learning Methods, Transfer in Reinforcement Learning Domains, vol.10, pp.139-179, 2009.

L. Trujillo, G. Olague, E. Lutton, F. Fernández-de-vega, L. Dozal et al., Speciation in Behavioral Space for Evolutionary Robotics, Journal of Intelligent & Robotic Systems, vol.64, issue.3-4, pp.323-351, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00642312

D. Windridge and J. Kittler, Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation, Advances in Experimental Medicine and Biology, vol.657, pp.95-134, 2009.