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» Approximate Policy Iteration with a Policy Language Bias
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UAI
2004
13 years 6 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
AIPS
2009
13 years 6 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
HPCA
2007
IEEE
14 years 5 months ago
Exploiting Postdominance for Speculative Parallelization
Task-selection policies are critical to the performance of any architecture that uses speculation to extract parallel tasks from a sequential thread. This paper demonstrates that ...
Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam...
PASTE
2004
ACM
13 years 10 months ago
Resolving and applying constraint queries on context-sensitive analyses
A context-sensitive analysis is an analysis in which program elements are assigned sets of properties that depend upon the context in which they occur. For analyses on imperative ...
James Ezick
ICS
2003
Tsinghua U.
13 years 10 months ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua