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IJCAI
2003
15 years 7 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
PC
2000
160views Management» more  PC 2000»
15 years 6 months ago
Parallel algorithms to solve two-stage stochastic linear programs with robustness constraints
In this paper we present a parallel method for solving two-stage stochastic linear programs with restricted recourse. The mathematical model considered here can be used to represe...
Patrizia Beraldi, Lucio Grandinetti, Roberto Musma...
ACL
2006
15 years 7 months ago
Discourse Generation Using Utility-Trained Coherence Models
We describe a generic framework for integrating various stochastic models of discourse coherence in a manner that takes advantage of their individual strengths. An integral part o...
Radu Soricut, Daniel Marcu
CEC
2007
IEEE
16 years 20 days ago
On the adaptation of noise level for stochastic optimization
— This paper deals with the optimization of noisy fitness functions, where the noise level can be reduced by increasing the computational effort. We theoretically investigate th...
Olivier Teytaud, Anne Auger
DATE
2007
IEEE
133views Hardware» more  DATE 2007»
16 years 20 days ago
Stochastic modeling and optimization for robust power management in a partially observable system
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
Qinru Qiu, Ying Tan, Qing Wu