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119
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ICML
2010
IEEE
15 years 4 months ago
Finite-Sample Analysis of LSTD
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
152
Voted
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 11 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
131
Voted
MFCS
2010
Springer
15 years 1 months ago
Asynchronous Omega-Regular Games with Partial Information
We address the strategy problem for ω-regular two-player games with partial information, played on finite game graphs. We consider two different kinds of observability on a gene...
Bernd Puchala
IDTRUST
2010
ACM
15 years 10 months ago
Computational techniques for increasing PKI policy comprehension by human analysts
Natural-language policies found in X.509 PKI describe an organization’s stated policy as a set of requirements for trust. The widespread use of X.509 underscores the importance ...
Gabriel A. Weaver, Scott A. Rea, Sean W. Smith
147
Voted
ICALT
2008
IEEE
15 years 10 months ago
LEMAT: A Project for Innovation in Teaching Mathematics
“Lemat” is an acronym for Libro Electrónico de Matemáticas, which means Electronic Book of Mathematics. It is a project developed by a group of teachers at secondary school ...
Beatriz Porras, Jose A. Cordon, Juan Manuel Olazab...