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» Learning from Partial Observations

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ICASSP
2010
IEEE

145views Signal Processing» more ICASSP 2010»

A minimax approach to Bayesian estimation with partial knowledge of the observation model

13 years 7 months ago

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We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...

Tomer Michaeli, Yonina C. Eldar

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AAAI
2007

89views Intelligent Agents» more AAAI 2007»

A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation

13 years 10 months ago

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The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...

Kevin Gold, Brian Scassellati

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ECML
2005
Springer

120views Machine Learning» more ECML 2005»

Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes

14 years 1 months ago

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Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...

Masoumeh T. Izadi, Doina Precup

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ICML
2002
IEEE

218views Machine Learning» more ICML 2002»

An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes

14 years 8 months ago

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Blai Bonet

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