![Estimation theory / Expectation–maximization algorithm / Missing data / Reinforcement learning / Mixture model / Q-learning / Algorithm / Pattern recognition / Statistics / Machine learning / Computational statistics Estimation theory / Expectation–maximization algorithm / Missing data / Reinforcement learning / Mixture model / Q-learning / Algorithm / Pattern recognition / Statistics / Machine learning / Computational statistics](https://www.pdfsearch.io/img/2903eddf46e0c47060d54540ee420fa2.jpg)
| Document Date: 2003-06-30 17:30:06 Open Document File Size: 358,76 KBShare Result on Facebook
City Cambridge / Vienna / / Company MIT Press / MIT Media Laboratory / 13th IEEE Intl / / Country Austria / United States / / / Facility Prentice Hall / University of Rochester / / IndustryTerm state-based reinforcement learning algorithm / lter bank responses / reinforcement learning algorithm / neural network / reinforcement learning algorithms / online clustering / lter bank / efficient action selection algorithms / intelligent robotic systems / / Organization MIT / University of Rochester / / Person Leslie Pack Kaelbling / Andrew Barto / Darrell / Bruce Blumberg Alex Pentland / / Position model for gesture recognition / / ProvinceOrState Massachusetts / / PublishedMedium Journal of Artificial Intelligence Research / / Technology speech recognition / reinforcement learning algorithms / RLEM algorithm / neural network / proposed algorithm / Learning algorithms / efficient action selection algorithms / un-supervised EM algorithm / Expectation Maximization algorithm / reinforcement learning algorithm / state-based reinforcement learning algorithm / gesture recognition / EM algorithm / 6 Discussion The algorithm / EM-based reinforcement learning algorithm / action sampling The algorithm / pdf / two algorithms / The EM algorithm / /
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