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AAAI
2004
15 years 4 months ago
Stochastic Local Search for POMDP Controllers
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
Darius Braziunas, Craig Boutilier
160
Voted
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 6 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
93
Voted
HM
2007
Springer
120views Optimization» more  HM 2007»
15 years 8 months ago
On the Combination of Constraint Programming and Stochastic Search: The Sudoku Case
Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world over. From a computational perspective, Sudoku is also a problem that belongs to the set ...
Rhydian Lewis
144
Voted
WIOPT
2011
IEEE
14 years 6 months ago
LIFO-Backpressure achieves near optimal utility-delay tradeoff
There has been considerable recent work developing a new stochastic network utility maximization framework using Backpressure algorithms, also known as MaxWeight. A key open probl...
Longbo Huang, Scott Moeller, Michael J. Neely, Bha...
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 12 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...