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IJCAI
2007
13 years 7 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
ICLA
2011
Springer
12 years 9 months ago
A Stochastic Interpretation of Propositional Dynamic Logic: Expressivity
We propose a probabilistic interpretation of Propositional Dynamic Logic (PDL). We show that logical and behavioral equivalence are equivalent over general measurable spaces. This...
Ernst-Erich Doberkat
ICML
2005
IEEE
14 years 6 months ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
FORTE
2008
13 years 7 months ago
Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations
Abstract. Our concrete objective is to present both ordinary bisimulations and probabilistic bisimulations in a common coalgebraic framework based on multiset bisimulations. For th...
David de Frutos-Escrig, Miguel Palomino, Ignacio F...
AIPS
2003
13 years 7 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 ...