1150 search results - page 94 / 230 » Tackling Large State Spaces in Performance Modelling |
133
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AAAI
2008
15 years 6 months ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
136
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ECCV
2002
Springer
16 years 5 months ago
2002
Springer
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
133
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ICMLA
2008
15 years 5 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
131
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
173
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IPPS
2007
IEEE
15 years 10 months ago
2007
IEEE
High-end computing is universally recognized to be a strategic tool for leadership in science and technology. A significant portion of high-end computing is conducted on clusters...