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» Hierarchical Monte-Carlo Planning
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SARA
2005
Springer
15 years 4 months ago
Synthesizing Plans for Multiple Domains
Intelligent agents acting in real world environments need to synthesize their course of action based on multiple sources of knowledge. They also need to generate plans that smoothl...
Abdelbaki Bouguerra, Lars Karlsson
82
Voted
AIPS
2009
14 years 11 months ago
Learning User Plan Preferences Obfuscated by Feasibility Constraints
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AIM
1998
14 years 10 months ago
Computer Bridge - A Big Win for AI Planning
A computer program that uses AI planning techniques is now the world’s best program for the game of contract bridge. As reported in The New York Times and The Washington Post, t...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
AIPS
1996
14 years 12 months ago
Least-Commitment Action Selection
The principle of least commitment was embraced early in planning research. Hierarchical task networks (HTNs)reason about high-level tasks without committing to specific low-level ...
Marc Friedman, Daniel S. Weld
GIS
2008
ACM
15 years 11 months ago
Applying hierarchical graphs to pedestrian indoor navigation
In this paper we propose to apply hierarchical graphs to indoor navigation. The intended purpose is to guide humans in large public buildings and assist them in wayfinding. We sta...
Edgar-Philipp Stoffel, Hans Jürgen Ohlbach, K...