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AIPS
2006
13 years 7 months ago
A New Principle for Incremental Heuristic Search: Theoretical Results
Planning is often not a one-shot task because either the world or the agent's knowledge of the world changes. In this paper, we introduce a new principle that can be used to ...
Sven Koenig, Maxim Likhachev
CORR
1998
Springer
135views Education» more  CORR 1998»
13 years 5 months ago
The Computational Complexity of Probabilistic Planning
We examine the computational complexity of testing and nding small plans in probabilistic planning domains with both at and propositional representations. The complexity of plan e...
Michael L. Littman, Judy Goldsmith, Martin Mundhen...
PAAMS
2010
Springer
13 years 10 months ago
An UCT Approach for Anytime Agent-Based Planning
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-base...
Damien Pellier, Bruno Bouzy, Marc Métivier
AIPS
2000
13 years 7 months ago
New Results about LCGP, a Least Committed GraphPlan
Planners from the family of Graphplan (Graphplan, IPP, STAN...) are presently considered as the most efficient ones on numerous planning domains. Their partially ordered plans can...
Michel Cayrol, Pierre Régnier, Vincent Vida...
AIPS
2008
13 years 8 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein