Properties for efficient demonstrations to a socially guided intrinsically motivated learner

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2012, Pages 614-620

  Nguyen, Sao Mai ^a   Oudeyer, Pierre Yves ^a  

^a ENSTA PARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

INTRINSIC MOTIVATION; LEARNING PERFORMANCE; MOTOR SKILLS; SOCIAL LEARNING;

COMMUNICATION; LEARNING ALGORITHMS;

DEMONSTRATIONS;

EID: 84870820093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2012.6343819     Document Type: Conference Paper

References (30)

1. S. M. Nguyen, A. Baranes, and P.-Y. Oudeyer, "Bootstrapping intrinsically motivated learning with human demonstrations," in Proceedings of the IEEE International Conference on Development and Learning, Frankfurt, Germany, 2011.
2. J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, and E. Thelen, "Autonomous mental development by robots and animals," Science, vol. 291, no. 599-600, 2001.
3. M. Asada, K. Hosoda, Y. Kuniyoshi, H. Ishiguro, T. Inui, Y. Yoshikawa, M. Ogino, and C. Yoshida, "Cognitive developmental robotics: A survey," IEEE Trans. Autonomous Mental Development, vol. 1, no. 1, 2009.
4. A. Whiten, "Primate culture and social learning," Cognitive Science, vol. 24, no. 3, pp. 477-508, 2000.
5. M. Tomasello and M. Carpenter, "Shared intentionality," Developmental Science, vol. 10, no. 1, pp. 121-125, 2007.
6. A. Billard, S. Calinon, R. Dillmann, and S. Schaal, Handbook of Robotics. MIT Press, 2007, no. 59, ch. Robot Programming by Demonstration.
7. B. D. Argall, S. Chernova, M. Veloso, and B. Browning, "A survey of robot learning from demonstration," Robotics and Autonomous Systems, vol. 57, no. 5, pp. 469 - 483, 2009.
8. E. Deci and R. M. Ryan, Intrinsic Motivation and self-determination in human behavior. New York: Plenum Press, 1985.
9. M. Lopes and P.-Y. Oudeyer, "Active learning and intrinsically motivated exploration in robots: Advances and challenges (guest editorial)," IEEE Transactions on Autonomous Mental Development, vol. 2, no. 2, pp. 65-69, 2010.
10. P.-Y. Oudeyer, F. Kaplan, and V. Hafner, "Intrinsic motivation systems for autonomous mental development," IEEE Transactions on Evolutionary Computation, vol. 11, no. 2, pp. 265-286, 2007.
11. A. G. Barto, S. Singh, and N. Chenatez, "Intrinsically motivated learning of hierarchical collections of skills," in Proc. 3rd Int. Conf. Development Learn., San Diego, CA, 2004, pp. 112-119.
12. P.-Y. Oudeyer, F. Kaplan, and V. Hafner, "Intrinsic motivation systems for autonomous mental development," IEEE Transactions on Evolutionary Computation, vol. 11(2), pp. pp. 265-286, 2007.
13. J. Schmidhuber, "Curious model-building control systems," in Proc. Int. Joint Conf. Neural Netw., vol. 2, 1991, pp. 1458-1463.
14. V. Fedorov, Theory of Optimal Experiment. New York, NY: Academic Press, Inc., 1972.
15. D. A. Cohn, Z. Ghahramani, and M. I. Jordan, "Active learning with statistical models," Journal of Artificial Intelligence Research, vol. 4, pp. 129-145, 1996.
16. N. Roy and A. McCallum, "Towards optimal active learning through sampling estimation of error reduction," in Proc. 18th Int. Conf. Mach. Learn., vol. 1, 2001, pp. 143-160.
17. M. Lopes, F. Melo, L. Montesano, and J. Santos-Victor, From Motor to Interaction Learning in Robots. Springer, 2009, ch. Abstraction Levels for Robotic Imitation: Overview and Computational Approaches.
18. J. Call and M. Carpenter, Imitation in animals and artifacts. Cambridge, MA: MIT Press., 2002, ch. Three sources of information in social learning, pp. 211-228.
19. C. L. Nehaniv and K. Dautenhahn, Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge: Cambridge Univ. Press, March 2007.
20. 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, vol. 20 Special Issue on Social Learning in Embodied Agents, no. 2,3, pp. 91-110, 2008.
21. J. Peters and S. Schaal, "Reinforcement learning of motor skills with policy gradients," Neural Networks, vol. 21, no. 4, pp. 682-697, 2008.
22. M. Lopes, F. Melo, and L. Montesano, "Active learning for reward estimation in inverse reinforcement learning," in European Conference on Machine Learning, 2009.
23. F. Stulp and S. Schaal, "Hierarchical reinforcement learning with movement primitives," in Humanoids. IEEE, 2011, pp. 231-238.
24. A. L. Thomaz, "Socially guided machine learning," Ph.D. dissertation, MIT, 5 2006.
25. A. Baranes and P.-Y. Oudeyer, "Active learning of inverse models with intrinsically motivated goal exploration in robots," Robotics and Autonomous Systems, in press.
26. G. Csibra, "Teleological and referential understanding of action in infancy," Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, vol. 358, no. 1431, p. 447, 2003.
27. G. Csibra and G. Gergely, "Obsessed with goals: Functions and mechanisms of teleological interpretation of actions in humans," Acta Psychologica, vol. 124, no. 1, pp. 60 - 78, 2007.
28. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, "Convergence properties of the nelder-mead simplex method in low dimensions," SIAM Journal of Optimization, vol. 9, no. 1, pp. 112-147, 1998.
29. C. Atkeson, M. Andrew, and S. Stefan, "Locally weighted learning," AI Review, vol. 11, pp. 11-73, April 1997.
30. W. J. Krzanowski, Principles of Multivariate Analysis: A User's Perspective. Oxford University Press, 1988.