515 search results - page 51 / 103 » Approximating Markov Processes by Averaging |
154
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ICCAD
2002
IEEE
16 years 3 months ago
2002
IEEE
This paper presents an approach to the analysis of task sets implemented on multiprocessor systems, when the task execution times are specified as generalized probability distrib...
166
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ATAL
2009
Springer
16 years 20 days ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
169
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
206
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AIED
2011
Springer
14 years 9 months ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
206
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VTC
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--This paper analyzes the outage probability in cognitive radio networks, based on the Poisson point process model of node spatial distribution and the standard propagation...