P. J. Bentley, Evolutionary Design by Computers, 1999.
DOI : 10.1007/978-1-4471-0819-1_8

URL : http://arxiv.org/abs/cs/9809049

R. A. Brooks, A robust layered control system for a mobile robot, IEEE Journal on Robotics and Automation, vol.2, issue.1, pp.14-23, 1986.
DOI : 10.1109/JRA.1986.1087032

R. A. Brooks, How to build complete creatures rather than isolated cognitive simulators, Architectures for Intelligence: The 22nd Carnegie Mellon Symp. on Cognition, pp.225-239, 1991.

R. Dawkins, The blind watchmaker, 1988.

D. Floreano and F. Mondada, Evolution of homing navigation in a real mobile robot, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.26, issue.3, pp.396-407, 1994.
DOI : 10.1109/3477.499791

I. Harvey, The Artificial Evolution of Adaptive Behaviour, 1993.

M. Humphrys, Action Selection Methods Using Reinforcement Learning, 1997.

L. Pack-kaelbling, M. L. Littman, and A. P. Moore, Reinforcement learning: A survey, Journal of Artificial Intelligence Research, vol.4, pp.237-285, 1996.

M. Keijzer, J. J. Merelo, G. Romero, and M. Schoenauer, Evolving Objects: A General Purpose Evolutionary Computation Library, Artificial Evolution'01, pp.229-241, 2002.
DOI : 10.1007/3-540-46033-0_19

P. Maes, The dynamics of action selection, Proceedings of the 11th International Joint Conference on Artificial Intelligence, 1989.

J. R. Millan, D. Posenato, and E. Dedieu, Continuous-action Q-learning, Machine Learning, vol.49, issue.2/3, pp.247-265, 2002.
DOI : 10.1023/A:1017988514716

S. Nolfi and D. Floreano, How co-evolution can enhance the adaptive power of artificial evolution: Implications for evolutionary robotics, Proceedings of EvoRobot98, pp.22-38, 1998.
DOI : 10.1007/3-540-64957-3_62

S. Nolfi and D. Floreano, Evolutionary Robotics, 2000.
DOI : 10.1007/978-3-319-32552-1_76

H. Schwefel, Numerical Optimization of Computer Models, 1981.

R. S. Sutton and A. G. Barto, Reinforcement learning, 1998.
DOI : 10.1007/978-1-4615-3618-5

URL : https://hal.archives-ouvertes.fr/hal-00764281

E. Tuci, I. Harvey, and M. Quinn, Evolving integrated controllers for autonomous learning robots using dynamic neural networks, Proc. of SAB'02, 2002.

V. N. Vapnik, Statistical Learning Theory, 1998.

B. M. Yamauchi and R. D. Beer, Integrating reactive, sequential, and learning behavior using dynamical neural network, Proc. SAB'94, 1994.
DOI : 10.1177/105971239400200301

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.921