1138 search results - page 175 / 228 » Feature Markov Decision Processes |
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 10 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...
109
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GLOBECOM
2010
IEEE
14 years 10 months ago
2010
IEEE
In cognitive networks, since nodes generally belong to different authorities and pursue different goals, they will not cooperate with others unless cooperation can improve their ow...
110
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DSN
2009
IEEE
14 years 9 months ago
2009
IEEE
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
124
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GECCO
2009
Springer
14 years 9 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...