Abstract

Yolanda Gil Information Sciences Institute, USC 4676 Admiralty Way Marina del Rey, CA 90292 gil@ isi. edu
Planning systems often make the assumption that omniscient world knowledge is available. Our approach makes the more realistic assumption that the initial knowledge about the actions is incomplete, and uses experimentation as a learning mechanism when the missing knowledge causes an execution fail-Previous work on learning by experi-

Date

March 14, 1993

Authors

Yolanda Gil

Journal

Proc. of the Tenth International Joint Conference on Artificial Intelligence

Pages

128-134