770 search results - page 112 / 154 » Scalable stochastic processors |
105
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ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
125
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IPPS
2010
IEEE
14 years 7 months ago
2010
IEEE
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
100
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
CORR
2010
Springer
14 years 4 months ago
2010
Springer
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
185
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CSE
2012
IEEE
13 years 5 months ago
2012
IEEE
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...