4446 search results - page 651 / 890 » Learning Observer Agents |
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AAAI
2006
15 years 6 months ago
2006
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
147
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AAAI
2006
15 years 6 months ago
2006
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
144
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AAAI
2006
15 years 6 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
132
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AAAI
2006
15 years 6 months ago
2006
Social networks are important for the Semantic Web. Several means can be used to obtain social networks: using social networking services, aggregating Friendof-a-Friend (FOAF) doc...
159
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AAAI
2006
15 years 6 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...