ARTIFICIAL INTELLIGENCE: Autonomous Mental Development by Robots and Animals, Science, vol.291, issue.5504, pp.599-600, 2001. ,
DOI : 10.1126/science.291.5504.599
Developmental robotics: a survey, Connection Science, vol.1, issue.4, p.151190, 2003. ,
DOI : 10.2307/1131322
On Learning, Representing, and Generalizing a Task in a Humanoid Robot, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.2, pp.286-298, 2007. ,
DOI : 10.1109/TSMCB.2006.886952
Affordance-based imitation learning in robots, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.10151021, 2007. ,
DOI : 10.1109/IROS.2007.4399517
Apprenticeship learning via inverse reinforcement learning, Twenty-first international conference on Machine learning , ICML '04, 2004. ,
DOI : 10.1145/1015330.1015430
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.92
Robot learning from demonstration, Proc. 14th International Conference on Machine Learning, p.1220, 1997. ,
Action, State and Effect Metrics for Robot Imitation, ROMAN 2006, The 15th IEEE International Symposium on Robot and Human Interactive Communication, p.232237, 2006. ,
DOI : 10.1109/ROMAN.2006.314423
A survey of robot learning from demonstration, Robotics and Autonomous Systems, vol.57, issue.5, p.469483, 2009. ,
DOI : 10.1016/j.robot.2008.10.024
Imitation Learning Based on Visuo-Somatic Mapping ,
DOI : 10.1007/11552246_26
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3264
Learning and communication via imitation: an autonomous robot perspective, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.31, issue.5, pp.31-431, 2001. ,
DOI : 10.1109/3468.952717
The Robot in the Crib: A developmental , Infant and Child Development, pp.43-53, 2008. ,
Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.2, p.322332, 2007. ,
DOI : 10.1109/TSMCB.2006.886951
Mirror neurons and imitation: A computationally guided review, Neural Networks, vol.19, issue.3, p.254271, 2006. ,
DOI : 10.1016/j.neunet.2006.02.002
Imitation and social learning in robots, humans, and animals, chap. A Bayesian model of imitation in infants and robots, 2007. ,
Moving Up the Food Chain, 2005. ,
DOI : 10.1093/acprof:oso/9780195166194.003.0009
Who Needs Emotions: The Brain Meets the Robot, 2005. ,
DOI : 10.1093/acprof:oso/9780195166194.001.0001
Intelligent Behavior in Animals and Robots, 1993. ,
From behaviour-based robots to motivation-based robots, Robotics and Autonomous Systems, vol.51, issue.2-3, pp.175-190, 2005. ,
DOI : 10.1016/j.robot.2004.10.004
Incorporating Motivation in a Hybrid Robot Architecture, JACIII, vol.8, issue.3, pp.269-274, 2004. ,
An ethological and emotional basis for human???robot interaction, Robotics and Autonomous Systems, vol.42, issue.3-4, pp.191-201, 2003. ,
DOI : 10.1016/S0921-8890(02)00375-5
Motivation reconsidered: The concept of competence. Psychological, Curiosity and Exploration, Science, vol.66, issue.153 3731, pp.297333-297358, 1959. ,
Intrinsic Motivation and Self-Determination in Human Behavior, 1985. ,
DOI : 10.1007/978-1-4899-2271-7
Getting Formal with Dopamine and Reward, Neuron, vol.36, issue.2, pp.241-263, 2002. ,
DOI : 10.1016/S0896-6273(02)00967-4
URL : http://doi.org/10.1016/s0896-6273(02)00967-4
Reward, Motivation, and Reinforcement Learning, Neuron, vol.36, issue.2, pp.285-298, 2002. ,
DOI : 10.1016/S0896-6273(02)00963-7
The short-latency dopamine signal: a role in discovering novel actions?, Nature Reviews Neuroscience, vol.9, issue.4, pp.967-975, 2006. ,
DOI : 10.1038/nrn2022
Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation, vol.11, issue.2, p.265286, 2007. ,
DOI : 10.1109/TEVC.2006.890271
Intrinsically motivated learning of hierarchical collections of skills, Proc. 3rd Int. Conf. Development Learn, p.112119, 2004. ,
Modulation of Exploratory Behavior for Adaptation to the Context. Biologically Inspired Robotics (Biro-net) : Adaptation in Artificial and Biological Systems, 2006. ,
Homeokinetic approach to autonomous learning in mobile robots, In Robotik, pp.301-306, 2002. ,
BRINGING UP ROBOT: FUNDAMENTAL MECHANISMS FOR CREATING A SELF-MOTIVATED, SELF-ORGANIZING ARCHITECTURE, Cybernetics and Systems, vol.36, issue.2, 2005. ,
DOI : 10.1126/science.291.5504.599
Novelty and Reinforcement Learning in the Value System of Developmental Robots, Proc. Second International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2002. ,
Curious model-building control systems, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks, p.14581463, 1991. ,
DOI : 10.1109/IJCNN.1991.170605
Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot, ECAL, vol.2007, pp.294-303, 2007. ,
DOI : 10.1007/978-3-540-74913-4_30
Theory of Optimal Experiment, Academic, 1972. ,
Principles of Perceptual Learning and Development, Leonardo, vol.6, issue.2, 1969. ,
DOI : 10.2307/1572721
Creativity-Flow and the Psychology of Discovery and Invention, 1996. ,
Active learning with statistical models, J. Artif. Intell. Res, vol.4, p.129145, 1996. ,
Active Learning in Neural Networks, p.137169, 2002. ,
DOI : 10.1007/978-3-7908-1803-1_5
LWPR : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space, Proc. of Seventeenth International Conference on Machine Learning (ICML2000) Stanford, California, pp.1079-1086, 2000. ,
Learning inverse kinematics, IEEE International Conference on Intelligent Robots and Systems, 2001. ,
Learning to Control in Operational Space, The International Journal of Robotics Research, vol.12, issue.12, pp.197-212, 2008. ,
DOI : 10.1177/0278364907087548
Control of redundant robots using learned models: An operational space control approach, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. ,
DOI : 10.1109/IROS.2009.5354438
Learning inverse dynamics by Gaussian process regression under the multi-task learning framework, The ,
R-IAC: Robust Intrinsically Motivated Exploration and Active Learning, IEEE Transactions on Autonomous Mental Development, vol.1, issue.3, pp.155-169, 2009. ,
DOI : 10.1109/TAMD.2009.2037513
URL : https://hal.archives-ouvertes.fr/hal-00818174
Solving inverse problems using an EM approach to density estimation ,
on of Gaussian Process and other Methods for Non, 1996. ,
An optimal algorithm for approximate nearest neighbor searching fixed dimensions, Journal of the ACM, vol.45, issue.6, pp.891-923, 1998. ,
DOI : 10.1145/293347.293348
Analysis of Approximate Nearest Neighbor Searching with Clustered Point Sets, Data Structures, Near Neighbor Searches, and Methodology: Fifth and Sixth DIMACS Implementation Challenges, the DIMACS Series in Discr. Math. and Theoret ,
A visual bag of words method for interactive qualitative localization and mapping, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007. ,
DOI : 10.1109/ROBOT.2007.364080
URL : https://hal.archives-ouvertes.fr/hal-00640996
How can we define intrinsic motivation?, Proceedings of the 8th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00420175
From visuo-motor self learning to early imitation-a neural architecture for humanoid learning, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), p.31323139, 2003. ,
DOI : 10.1109/ROBOT.2003.1242072
Santos-Victor (to appear) Cognitive processes in imitation : overview and computational approaches, in From motor to interaction learning in robots ,
Experiments in socially guided exploration: lessons learned in building robots that learn with and without human teachers, Connection Science, vol.1, issue.2-3, pp.91-110, 2008. ,
DOI : 10.1016/j.artint.2007.09.009
Gaussian Mixture Regression and its Applicatio Local Gaussian Processes Regression for Real-time Model-based Robot Control Proceedings of the [62] process regression under the multi-In The Path to Autonomous Robots, IEEERSJ International Conference on Intelligent Robots and Systems IEEE Service Center, vol.61, pp.380-385131, 2008. ,
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001. ,
DOI : 10.1145/1961189.1961199