2990 search results - page 473 / 598 » Hidden Markov processes |
162
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WSC
2008
15 years 8 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
176
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CAIP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
168
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DICS
2006
15 years 8 months ago
2006
Abstract. Modern incremental and iterative software engineering processes advocate to build software systems by first creating a highly simpliabstract model of the system which is ...
190
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EWRL
2008
15 years 8 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
185
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AAAI
2010
15 years 7 months ago
2010
Ontology matching is the problem of determining correspondences between concepts, properties, and individuals of different heterogeneous ontologies. With this paper we present a n...