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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 ...
CANDC
2004
ACM
13 years 5 months ago
Identification of related gene/protein names based on an HMM of name variations
Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important p...
Lana Yeganova, Lawrence H. Smith, W. John Wilbur
NIPS
1998
13 years 7 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
ATAL
2005
Springer
13 years 11 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
NIPS
1996
13 years 7 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies