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ICML
2010
IEEE
14 years 10 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
ASPLOS
2012
ACM
13 years 5 months ago
Architecture support for disciplined approximate programming
Disciplined approximate programming lets programmers declare which parts of a program can be computed approximately and consequently at a lower energy cost. The compiler proves st...
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug...
IANDC
2006
86views more  IANDC 2006»
14 years 9 months ago
Table design in dynamic programming
Dynamic Programming solves combinatorial optimization problems by recursive decomposition and tabulation of intermediate results. The first step in the design of a dynamic program...
Peter Steffen, Robert Giegerich
BIRD
2007
Springer
120views Bioinformatics» more  BIRD 2007»
15 years 3 months ago
Joining Softassign and Dynamic Programming for the Contact Map Overlap Problem
Comparison of 3-dimensional protein folds is a core problem in molecular biology. The Contact Map Overlap (CMO) scheme provides one of the most common measures for protein structur...
Brijnesh J. Jain, Michael Lappe
AAAI
2006
14 years 11 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet