Automatic,Weight Learning for Multiple Data Sources when Learning from Demonstration

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2009, Pages 226-231

  Argall, Brenna D ^a   Browning, Brett ^a   Veloso, Manuela ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION SELECTION; DATA SOURCE; LEARNING FROM DEMONSTRATION; MULTIPLE DATA SOURCES; POLICY MAPPINGS; PROGRAMMING ROBOTS; SIMULATED ROBOT; TASK EXECUTIONS;

BIPED LOCOMOTION; DEMONSTRATIONS; RELIABILITY; ROBOT PROGRAMMING; ROBOTICS; ROBOTS; TEACHING;

LEARNING ALGORITHMS;

EID: 70350418434     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2009.5152668     Document Type: Conference Paper

References (15)

1. P. Abbeel, A. Coates, M. Quigley, and A. Y. Ng. An application of reinforcement learning to aerobatic helicopter flight. In Proceedings of NIPS'07, 2007.
2. B. Argall, B. Browning, and M. Veloso. Learning to select state machines on an autonomous robot using expert advice. In Proceedings of ICRA '07, 2007.
3. B. Argall, B. Browning, and M. Veloso. Learning robot motion control with demonstration and advice-operators. In Proceedings of IROS '08, 2008.
4. C. G. Atkeson, A. W. Moore, and S. Schaal. Locally weighted learning for control. Artificial Intelligence Review, 11:75-113, 1997.
5. C. G. Atkeson and S. Schaal. Robot learning from demonstration. In J. Douglas H. Fisher, editor, Proceedings of ICML '97, 1997.
6. th Annual Symposium on Foundations of Computer Science, 1995.
7. D. C. Bentivegna. Learning from Observation Using Primitives. PhD thesis, College of Computing, Georgia Institute of Technology, 2004.
8. M. Bowling and M. Veloso. Convergence of gradient dynamics with a variable learning rate. In Proceedings of ICML '01, 2001.
9. S. Calinon and A. Billard. Incremental learning of gestures by imitation in a humanoid robot. In Proceedings of HRI '07, 2007.
10. S. Chernova and M. Veloso. Confidence-based learning from demonstration using Gaussian Mixture Models. In Proceedings of AAMAS '07, 2007.
11. M. Kaiser, H. Friedrich, and R. Dillmann. Obtaining good performance from a bad teacher. In Programming by Demonstration vs. Learning from Examples Workshop at ML'95, 1995.
12. M. N. Nicolescu and M. J. Mataric. Methods for robot task learning: Demonstrations, generalization and practice. In Proceedings of AAMAS '03, 2003.
13. E. Oliveira and L. Nunes. Learning by exchanging Advice. Springer, 2004.
14. P. K. Pook and D. H. Ballard. Recognizing teleoperated manipulations. In Proceedings of ICRA '93, 1993.
15. H. Robbins. Some aspects of the sequential design of experiments. Bulletin American Mathematical Society, 55:527-535, 1952.