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» Monte Carlo simulation approach to stochastic programming
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156
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AAAI
2010
15 years 7 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
NCA
2006
IEEE
15 years 6 months ago
Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regula...
Kaddour Najim, Enso Ikonen, P. Del Moral
187
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JUCS
2006
114views more  JUCS 2006»
15 years 6 months ago
Pseudorandom Number Generation: Impossibility and Compromise
Abstract: Pseudorandom number generators are widely used in the area of simulation. Defective generators are still widely used in standard library programs, although better pseudor...
Makoto Matsumoto, Mutsuo Saito, Hiroshi Haramoto, ...
GLVLSI
2008
IEEE
129views VLSI» more  GLVLSI 2008»
16 years 17 days ago
Variational capacitance modeling using orthogonal polynomial method
In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
DAC
2006
ACM
16 years 7 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...