?. N. Duminy, S. M. Nguyen, and D. Duhaut, Strategic and interactive learning a a hierarchical set of tasks by the Poppy humanoid robot, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, pp.204-209, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01547074

?. N. Duminy, S. M. Nguyen, and D. Duhaut, Learning a set of interrelated tasks by using sequences of motor policies for a strategic intrinsically motivated learner, 2018 Second IEEE International Conference on Robotic Computing (IRC), pp.288-291, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01869508

?. N. Duminy, S. M. Nguyen, and D. Duhaut, Effects of social guidance on a robot learning sequences of policies in hierarchical learning, IEEE International Conference on Systems, Man and Cybernetics (SMC2018), pp.3755-3760, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02066931

?. N. Duminy, A. Manoury, S. M. Nguyen, C. Buche, and D. Duhaut, Learning Sequences of Policies by using an Intrinsically Motivated Learner and a Task Hierarchy, the Workshop on Continual Unsupervised Sensorimotor Learning in 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01887073

?. N. Duminy, S. M. Nguyen, and D. Duhaut, Learning a Set of Interrelated Tasks by Using a Succession of Motor Policies for a Socially Guided Intrinsically Motivated Learner, Frontiers in Neurorobotics, vol.12, p.87
URL : https://hal.archives-ouvertes.fr/hal-02087995

B. D. Argall, B. Browning, and M. Veloso, Learning robot motion control with demonstration and advice-operators, Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, pp.399-404, 2008.

B. D. Argall, A survey of robot learning from demonstration, Robotics and Autonomous Systems, vol.57, pp.469-483, 2009.

H. Arie, Imitating others by composition of primitive actions: A neuro-dynamic model, Robotics and Autonomous Systems, vol.60, issue.5, pp.729-741, 2012.

M. Asada, Cognitive developmental robotics: A survey, IEEE transactions on autonomous mental development 1.1, pp.12-34, 2009.

Y. Baram, R. El-yaniv, and K. Luz, Online choice of active learning algorithms, The Journal of Machine Learning Research, vol.5, pp.255-291, 2004.

A. Baranes and P. Oudeyer, Intrinsically motivated goal exploration for active motor learning in robots: A case study, Intelligent Robots and Systems (IROS), pp.1766-1773, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00541769

A. Baranes and P. Oudeyer, Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots, Robotics and Autonomous Systems 61.1, pp.49-73, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00788440

A. G. Barto, G. Konidaris, and C. Vigorito, Behavioral hierarchy: exploration and representation, Computational and Robotic Models of the Hierarchical Organization of Behavior, pp.13-46, 2013.

A. G. Barto and S. Mahadevan, Recent advances in hierarchical reinforcement learning, Discrete event dynamic systems 13.1-2, pp.41-77, 2003.

Y. Bengio, Curriculum Learning, Proceedings of the 26th Annual International Conference on Machine Learning. ICML '09, pp.41-48, 2009.

A. Billard, Handbook of Robotics". In: 59. Chap. Robot Programming by Demonstration, 2007.

R. A. Brooks, Intelligence without representation". In: Artificial intelligence, vol.47, issue.1-3, pp.139-159, 1991.

S. Brown and C. Sammut, A relational approach to tool-use learning in robots, International Conference on Inductive Logic Programming, pp.1-15, 2012.

M. Cakmak, C. Chao, and A. L. Thomaz, Designing interactions for robot active learners, Autonomous Mental Development, pp.108-118, 2010.

S. Chernova and M. Veloso, Interactive Policy Learning through Confidence-Based Autonomy, Journal of Artificial Intelligence Research, vol.34, issue.1, p.1, 2009.

C. Colas, O. Sigaud, and P. Oudeyer, GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01840576

T. Croonenborghs, K. Driessens, and M. Bruynooghe, Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning, Inductive Logic Programming, pp.88-97, 2008.

E. L. Deci and R. M. Ryan, Intrinsic Motivation and self-determination in human behavior, 1985.

N. Duminy, S. M. Nguyen, and D. Duhaut, Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot, p.2016, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01547074

, Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pp.204-209

N. Duminy, S. Mai-nguyen, and D. Duhaut, Effects of social guidance on a robot learning sequences of policies in hierarchical learning, IEEE International Conference on Systems, Man and Cybernetics (SMC2018), pp.3755-3760, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02066931

N. Duminy, S. Mai-nguyen, and D. Duhaut, Learning a set of interrelated tasks by using sequences of motor policies for a strategic intrinsically motivated learner, IEEE International Robotics Conference, pp.288-291, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01869508

N. Duminy, S. Mai-nguyen, and D. Duhaut, Learning a Set of Interrelated Tasks by Using a Succession of Motor Policies for a Socially Guided Intrinsically Motivated Learner, Frontiers in Neurorobotics, vol.12, p.87, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02087995

J. Elman, Learning and development in neural networks: The importance of starting small, Cognition 48, pp.71-99, 1993.

S. Forestier, Y. Mollard, and P. Oudeyer, Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01651233

S. Forestier and P. Oudeyer, Curiosity-driven development of tool use precursors: a computational model, 38th Annual Conference of the Cognitive Science Society, pp.1859-1864, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01354013

S. F. Giszter, Motor primitives-new data and future questions, Current opinion in neurobiology, vol.33, pp.156-165, 2015.

J. Gottlieb, Information-seeking, curiosity, and attention: computational and neural mechanisms, Trends in Cognitive Sciences 17.11, pp.585-593, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00913646

D. H. Grollman and O. Jenkins, Incremental learning of subtasks from unsegmented demonstration, Intelligent Robots and Systems (IROS), pp.261-266, 2010.

R. Hari, Action-perception connection and the cortical mu rhythm, Progress in brain research 159, pp.253-260, 2006.

R. Held and A. Hein, Movement-produced stimulation in the development of visually guided behaviour, Journal of comparative and physiological psychology, vol.56, pp.872-876, 1963.

O. Hikosaka, Parallel neural networks for learning sequential procedures, Trends in neurosciences 22, vol.10, pp.464-471, 1999.

A. Ijspeert, J. Jan, S. Nakanishi, and . Schaal, Learning attractor landscapes for learning motor primitives, 2002.

G. D. Konidaris and A. G. Barto, Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining, Advances in Neural Information Processing Systems (NIPS), pp.1015-1023, 2009.

S. Kubicki, S. Lepreux, and C. Kolski, RFID-driven situation awareness on TangiSense, a table interacting with tangible objects, Personal and Ubiquitous Computing 16, vol.8, pp.1079-1094, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00864200

S. Kubicki, Using a tangible interactive tabletop to learn at school: empirical studies in the wild". In: Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine, pp.155-166, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01383916

T. D. Kulkarni, Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation, Advances in neural information processing systems, pp.3675-3683, 2016.

M. Lapeyre, P. Rouanet, and P. Oudeyer, Poppy Humanoid Platform: Experimental Evaluation of the Role of a Bio-inspired Thigh Shape, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00861110

M. Lopes and P. Oudeyer, The strategic student approach for life-long exploration and learning, Development and Learning and Epigenetic Robotics (ICDL), pp.1-8, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00755216

M. Lungarella, Developmental robotics: a survey, Connection Science 15, vol.4, pp.151-190, 2003.

M. C. Machado, G. Marc, M. Bellemare, and . Bowling, A laplacian framework for option discovery in reinforcement learning, 2017.

F. S. Melo, C. Guerra, and M. Lopes, Interactive Optimal Teaching with Unknown Learners, IJCAI, pp.2567-2573, 2018.

K. E. Merrick, Intrinsic motivation and introspection in reinforcement learning, IEEE Transactions on Autonomous Mental Development, vol.4, pp.315-329, 2012.

K. Muelling, J. Kober, and J. Peters, Learning table tennis with a mixture of motor primitives, Humanoid Robots (Humanoids), 2010 10th IEEE-RAS International Conference on. IEEE, pp.411-416, 2010.

S. Nguyen, A. Mai, P. Baranes, and . Oudeyer, Bootstrapping intrinsically motivated learning with human demonstrations, IEEE International Conference on Development and Learning, vol.2, pp.1-8, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00645986

S. Nguyen, P. Mai, and . Oudeyer, Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner, Paladyn Journal of Behavioural Robotics, vol.3, issue.3, pp.136-146, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00936932

S. Nguyen, P. Mai, and . Oudeyer, Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills, Autonomous Robots, vol.36, issue.3, pp.273-294, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00936938

P. Oudeyer, F. Kaplan, and V. Hafner, Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation 11, pp.265-286, 2007.

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

P. Pastor, Learning and generalization of motor skills by learning from demonstration, Robotics and Automation, 2009. ICRA'09. IEEE International Conference on. IEEE, pp.763-768, 2009.

J. Peters and S. Schaal, Natural Actor Critic". In: Neurocomputing 7-9, pp.1180-1190, 2008.

J. Piaget, The origins of intelligence in children, 1952.

R. Reinhart and . Felix, Autonomous exploration of motor skills by skill babbling, Autonomous Robots 41, vol.7, pp.1521-1537, 2017.

M. Rolf, J. Steil, and M. Gienger, Goal Babbling permits Direct Learning of Inverse Kinematics, IEEE Trans. Autonomous Mental Development, vol.2, issue.3, pp.216-229, 2010.

V. G. Santucci, G. Baldassarre, and M. Mirolli, GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning, IEEE Transactions on Cognitive and Developmental Systems 8.3, pp.214-231, 2016.

S. Schaal, A. Ijspeert, and A. Billard, Computational approaches to motor learning by imitation, Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, p.537, 2003.

S. Schaal, S. Christopher-g-atkeson, and . Vijayakumar, Scalable techniques from nonparametric statistics for real time robot learning, Applied Intelligence 17.1, pp.49-60, 2002.

G. Schillaci, V. V. Hafner, and B. Lara, Coupled inverseforward models for action execution leading to tool-use in a humanoid robot, Proceedings of the seventh annual ACM/IEEE international conference on HumanRobot Interaction, pp.231-232, 2012.

J. Schmidhuber, Formal Theory of Creativity, Fun, and Intrinsic Motivation, IEEE Transactions on Autonomous Mental Development, vol.2, issue.3, pp.230-247, 1990.

B. C. Silva, G. Da, A. G. Konidaris, and . Barto, Learning Parameterized Skills, 29th International Conference on Machine Learning, 2012.

F. Stulp and S. Schaal, Hierarchical reinforcement learning with movement primitives, Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on. IEEE, pp.231-238, 2011.

R. S. Sutton, E. J. Rafols, and A. Koop, Temporal abstraction in temporal-difference networks, Advances in Neural Information Processing Systems 18 (NIPS*05), 2006.

R. S. Sutton and A. G. Barto, Reinforcement Learning: an introduction, 1998.

R. S. Sutton, D. Precup, and S. Singh, Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning, Artificial intelligence, vol.112, issue.2, pp.181-211, 1999.

M. E. Taylor and P. Stone, Transfer Learning for Reinforcement Learning Domains: A Survey, J. Mach. Learn. Res, vol.10, pp.1633-1685, 2009.

A. L. Thomaz and C. Breazeal, Experiments in Socially Guided Exploration: Lessons learned in building robots that learn with and without human teachers, Connection Science 20 Special Issue on Social Learning in Embodied Agents, vol.2, pp.91-110, 2008.

E. L. Thorndike, Animal intelligence: An experimental study of the associative processes in animals, The Psychological Review: Monograph, p.109, 1898.

S. Thrun, Explanation-based neural network learning: A lifelong learning approach, vol.357, 2012.

F. Varela, E. Thompson, and E. Rosch, The embodied mind : cognitive science and human experience, 1991.