A unified framework for imitation-like behaviors

AISB'07: Artificial and Ambient Intelligence

Volumn , Issue , 2007, Pages 241-250

  Melo, Francisco S ^b   Lopes, Manuel ^b   Santos Victor, José ^b   Ribeiro, Maria Isabel ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACT MODELS; BEHAVIORAL PATTERNS; IMITATION LEARNING; LEARNING BY IMITATION; REAL ROBOT; ROBOTIC TASKS; SKILL TRANSFER; UNIFIED FRAMEWORK;

ARTIFICIAL INTELLIGENCE;

REINFORCEMENT LEARNING;

EID: 84860563370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Richard Byrne. The Thinking Ape Evolutionary Origins of Intelligence. Oxford University Press, 1995.
2. Richard S. Sutton and Andrew G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.
3. S. Schaal. Is imitation learning the route to humanoid robots. Trends in Cognitive Sciences, 3(6):233-242, 1999.
4. S. Schaal, A. Ijspeert, and A. Billard. Computational approaches to motor learning by imitation. Phil. Trans. of the Royal Society of London: Series B, Biological Sciences, 358(1431):537-547, 2003.
5. Manuel Lopes and José Santos-Victor. A developmental roadmap for task learning by imitation in robots. IEEE Trans. Systems, Man, and Cybernetics - Part B: Cybernetics, 37(2), 2007.
6. Hideki Kozima, Cocoro Nakagawa, and Hiroyuki Yano. Emergence of imitation mediated by objects. In 2nd Int. Workshop on Epigenetic Robotics, 2002.
7. Luis Montesano, Manuel Lopes, Alexandre Bernardino, and José Santos-Victor. Learning affordances objects: From sensory motor maps to imitation. Technical report, Instituto de Sistemas e Robótica, Lisbon, Portugal, Feb 2007.
8. Chrystioher L. Nehaniv and Kerstin Dautenhahn. Like me? - measures of correspondence and imitation. Cybernetics and Systems, 32:11-51, 2001.
9. Manuel Lopes and José Santos-Victor. Visual transformations in gesture imitation: What you see is what you do. In IEEE Int. Conf. Robotics and Automation, 2003.
10. R. Zöllner and R. Dillmann. Using multiple probabilistic hypothesis for programming one and two hand manipulation by demonstration. In IEEE/RSJ Int. Conf. Intelligent Robots and Systems, 2003.
11. H. Bekkering, A. Wohlschläger, and M. Gattis. Imitation of gestures in children is goal-directed. Quarterly J. Experimental Psychology, 53A:153-164, 2000.
12. György Gergely, Harold Bekkering, and Ildikó Király. Rational imitation in preverbal infants. Nature, 415:755, 2002.
13. Richard W. Byrne. Imitation of novel complex actions: What does the evidence from animals mean? Advances in the Study of Bahaviour, 31:77-105, 2002.
14. R. W. Byrne and A.E. Russon. Learning by imitation: a hierarchical approach. Behav Brain Sci, pages 667-84, 1998.
15. J.S. Bruner. Nature and use of immaturity. American Psychologist, 27:687-708, 1972.
16. Minoru Asada, Yuichiro Yoshikawa, and Koh Hosoda. Learning by observation without three-dimensional reconstruction. In Intelligent Autonomous Systems (IAS-6), 2000.
17. C. Nehaniv and K. Dautenhahn. Mapping between dissimilar bodies: Affordances and the algebraic foundations of imitation. In European Workshop on Learning Robots, 1998.
18. S. Nakaoka, A. Nakazawa, K. Yokoi, H. Hirukawa, and K. Ikeuchi. Generating whole body motions for a biped humanoid robot from captured human dances., In ICRA, Taipei, Taiwan, 2003.
19. Aude Billard, Y. Epars, S. Calinon, G. Cheng, and S. Schaal. Discovering optimal imitation strategies. Robotics and Autonomous Systems, 47:2-3, 2004.
20. Dimitri P. Bertsekas and John N. Tsitsiklis. Neuro-Dynamic Programming. Athena Scientific, 1996.
21. Christopher J. C. H. Watkins. Learning from delayed rewards. PhD thesis, King's College, University of Cambridge, May 1989.
22. Bob Price and Craig Boutilier. Accelerating reinforcement learning through implicit imitation. J. Artificial Intelligence Research, 19:569-629, 2003.
23. Deepak Ramachandran and Eyal Amir. Bayesian inverse reinforcement learning. Proc. 20th Int. Joint Conf. Artificial Intelligence, 2007. (to appear).
24. M.T. Rosenstein and A.G. Barto. Supervised actor-critic reinforcement learning. In Learning and Approximate Dynamic Programming: Scaling Up to the Real World. John Wiley & Sons, Inc., 2004.
25. Christopher G. Atkeson and Stefan Schaal. Robot learning from demonstration. In 14th International Conference on Machine Learning, pages 12-20. Morgan Kaufmann, 1997.
26. Andrew Y. Ng and Stuart J. Russel. Algorithms for inverse reinforcement learning. In Proc. 17th Int. Conf. Machine Learning, pages 663-670, 2000.
27. Pieter Abbeel and Andrew Y. Ng. Apprenticeship learning via inverse reinforcement learning. In Proc. 21st Int. Conf. Machine Learning, pages 1-8, 2004.