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Fast planning with iterative macros

Date

Authors

Botea, Adi

Mueller, Martin

Schaeffer, Jonathan

Publisher

Carnegie Mellon University

Abstract

Research on macro-operators has a long history in planning and other search applications. There has been a revival of interest in this topic, leading to systems that successfully combine macrooperators with current state-of-the-art planning approaches bas

Keywords

Keywords: Heuristic search; Macro-operators; Search Algorithms; Search application; Artificial intelligence; Heuristic algorithms; Iterative methods; Macros

URI

http://hdl.handle.net/1885/29093

Collections

ANU Research Publications

Source

Proceedings of the International Joint Conference on Artificial Intelligence

Type

Conference paper

Restricted until

2037-12-31

Downloads

File

Description

01_Botea_Fast_planning_with_iterative_2007.pdf (25.91 KB)

02_Botea_Fast_planning_with_iterative_2007.pdf (43.92 KB)

03_Botea_Fast_planning_with_iterative_2007.pdf (233.08 KB)

04_Botea_Fast_planning_with_iterative_2007.pdf (320.7 KB)

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