3837 search results - page 81 / 768 » Learning Approximate Consistencies |
126
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
250
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POPL
2007
ACM
16 years 4 months ago
2007
ACM
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
151
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ML
2002
ACM
15 years 3 months ago
2002
ACM
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
148
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ICONIP
2007
15 years 5 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
146
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NIPS
2008
15 years 5 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...