1799 search results - page 170 / 360 » Filtered Reinforcement Learning |
141
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NIPS
2007
15 years 6 months ago
2007
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
165
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AGI
2008
15 years 6 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
146
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
153
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UAI
2004
15 years 5 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
159
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...