Using regression trees to learn action models

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 5, Issue , 2000, Pages 3378-3383

  Balac, Natasha ^a   Gaines, Daniel M ^a   Fisher, Doug ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL IMPACT; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS; TREES (MATHEMATICS);

REGRESSION TREES;

ROBOT LEARNING;

EID: 0034505358     PISSN: 08843627     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICSMC.2000.886527     Document Type: Article

References (12)

1. R. C. Arkin Behavior-Based Robotics 1998 MIT Press
2. N. Balac D. M. Gaines D. Fisher Learning action models for navigation in noisy environments ICML Workshop on Machine Learning of Spatial Knowledge ICML Workshop on Machine Learning of Spatial Knowledge Stanford 2000-July
3. S. Benson Inductive learning of reactive action models 12th International Conference on Machine Learning 12th International Conference on Machine Learning 1995
4. L. Breiman J. Friedman R. Olshen C. Stone Classification and Regression Trees 1984 Wadsworth CA, Belmont
5. M. desJardins Knowledge development methods for planning systems Fall Symposium on Learning and Planning: On to Real Applications 34 40 Fall Symposium on Learning and Planning: On to Real Applications New Orleans 1994
6. Y. Gil Learning by experimentation: incremental refinement of incomplete planning domains Eleventh International Conference on Machine Learning Eleventh International Conference on Machine Learning Rutgers NJ 1994-July
7. D. Lubinsky Learning from Data: Artificial Intelligence and Statistics V 387 398 1995 Springer New York Tree structured interpretable regression
8. S. Mahadevan Enhancing Transfer in Reinforcement Learningby Building Stochastic Models of Robot Actions Ninth International Conference on Machine Learning 290 299 Ninth International Conference on Machine Learning Aberdeen Scotland 1992-July
9. T. M. Mitchell Generalization as search Artificial Intelligence 18 203 226 1982
10. J. R. Quinlan Combining instance-based and model-based learning Proceedings of the Tenth International Conference on Machine Learning 236 243 Proceedings of the Tenth International Conference on Machine Learning Amherst MA 1993
11. L. Torgo Functional models for regression tree leaves Proceedings of the Fourteenth International Conference on Machine Learning 385 393 Proceedings of the Fourteenth International Conference on Machine Learning Nashville TN 1997
12. X. Wang Learning by observation and practice: An incremental approach for planning operator acquisition 12th International Conference on Machine Learning 12th International Conference on Machine Learning 1995