288 search results - page 30 / 58 » Risk-averse dynamic programming for Markov decision processe... |
101
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
112
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GLOBECOM
2010
IEEE
14 years 9 months ago
2010
IEEE
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not...
106
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CDC
2010
IEEE
14 years 6 months ago
2010
IEEE
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
100
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
CORR
2007
Springer
14 years 11 months ago
2007
Springer
— This paper explores optimization of paging and registration policies in cellular networks. Motion is modeled as a discrete-time Markov process, and minimization of the discount...