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ICML
2010
IEEE
13 years 8 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
12 years 3 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»
13 years 7 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»
14 years 1 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
13 years 9 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