For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

University of Huddersfield

Return to search Previous output Next output
Output 0 of 0 in the submission
Output title

Action Knowledge Acquisition with Opmaker2

Type
E - Conference contribution
Name of conference/published proceedings
Communications in Computer and Information Science
Volume number
67
Issue number
-
First page of article
137
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
3
Additional information

<22>This paper describes and evaluates the first technique to induce efficient representations of PDDL-like actions from training sequences without intermediate state information, large numbers of training examples, or user advice. It was the culmination of work, which included Richardson's PhD thesis, on the automated learning of operator and HTN schema which make up AI planning domain models. The paper is in the post-conference book containing selected papers from the proceedings of ICAART 2009, held in Porto, January 2009. This paper is among the 21 of the 161 submitted papers that were accepted for inclusion: http://link.springer.com/book/10.1007/978-3-642-11819-7.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-