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JAIR
2000
152views more  JAIR 2000»
13 years 9 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
BMCBI
2007
131views more  BMCBI 2007»
13 years 10 months ago
An improved method for identifying functionally linked proteins using phylogenetic profiles
Background: Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein c...
Shawn Cokus, Sayaka Mizutani, Matteo Pellegrini
ACL2
2006
ACM
14 years 3 months ago
Function memoization and unique object representation for ACL2 functions
We have developed an extension of ACL2 that includes the implementation of hash-based association lists and function memoization; this makes some algorithms execute more quickly. ...
Robert S. Boyer, Warren A. Hunt Jr.
JAIR
2008
126views more  JAIR 2008»
13 years 9 months ago
Optimal and Approximate Q-value Functions for Decentralized POMDPs
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos A. ...
STOC
1991
ACM
84views Algorithms» more  STOC 1991»
14 years 1 months ago
Self-Testing/Correcting for Polynomials and for Approximate Functions
The study of self-testing/correcting programs was introduced in [8] in order to allow one to use program P to compute function f without trusting that P works correctly. A self-te...
Peter Gemmell, Richard J. Lipton, Ronitt Rubinfeld...