2914 search results - page 168 / 583 » Optimization by Stochastic Continuation |
160
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WIOPT
2011
IEEE
14 years 7 months ago
2011
IEEE
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...
125
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ACG
2006
Springer
15 years 10 months ago
2006
Springer
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
144
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AUTOMATICA
2006
15 years 4 months ago
2006
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
155
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IJCAI
2001
15 years 5 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
132
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
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...