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» The Computational Complexity of Probabilistic Planning
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AAAI
2010
13 years 9 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 1 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 months ago
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...
Dan Olteanu, Jiewen Huang, Christoph Koch
IPL
2007
125views more  IPL 2007»
13 years 7 months ago
State explosion in almost-sure probabilistic reachability
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic systems operating in parallel is EXPTIME-complete. We then show that this prob...
François Laroussinie, Jeremy Sproston
AIPS
2003
13 years 9 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...