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ICML
2003
IEEE
14 years 9 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
SAFECOMP
2007
Springer
14 years 2 months ago
Software Encoded Processing: Building Dependable Systems with Commodity Hardware
In future, the decreasing feature size and the reduced power supply will make it much more difficult to built reliable microprocessors. Economic pressure will most likely result in...
Ute Wappler, Christof Fetzer
AAAI
1998
13 years 10 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman
SAS
1992
Springer
171views Formal Methods» more  SAS 1992»
14 years 25 days ago
Static Analysis of CLP Programs over Numeric Domains
Abstract Constraint logic programming (CLP) is a generalization of the pure logic programming paradigm, having similar model-theoretic, fixpoint and operational semantics [9]. Sinc...
Roberto Bagnara, Roberto Giacobazzi, Giorgio Levi
UAI
2000
13 years 10 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman