DMCA
Learning to act using real-time dynamic programming (1995)
Cached
Download Links
- [www-anw.cs.umass.edu]
- [ftp.cis.ohio-state.edu]
- [ftp.cs.umass.edu]
- [ftp.cs.colorado.edu]
- [www.cs.ualberta.ca]
- DBLP
Other Repositories/Bibliography
| Venue: | Artificial Intelligence |
| Citations: | 632 - 19 self |
BibTeX
@ARTICLE{Barto95learningto,
author = {Andrew G. Barto and Steven J. Bradtke and Satinder P. Singh and The Thank Rich Yee and Vijay Gullapalli and Brian Pinette},
title = {Learning to act using real-time dynamic programming},
journal = {Artificial Intelligence},
year = {1995},
volume = {72},
pages = {81--138}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
clarify the relationships between heuristic search andcontrol. We thank Rich Sutton, Chris Watkins, Paul Werbos, and Ron Williams for sharing their fundamental insights into this subject through numerous discussions, and we further thank Rich Sutton for rst making us aware of Korf's research and for his very thoughtful comments on the manuscript. We arevery grateful to Dimitri Bertsekas and Steven Sullivan for independently pointing out an error in an earlier version of this article. Finally, we thank Harry Klopf, whose insight and persistence encouraged our interest in this class of learning problems. This research was supported by grants to A.G. Barto from the National Science Foundation (ECS-8912623 and ECS-9214866) and the Air Force O ce of Scienti c Research, Bolling AFB (AFOSR-89-0526).
