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Learning and discovery of predictive state representations in dynamical systems with reset

ICML, pp.53-53, (2004)

Cited by: 86|Views12
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Abstract

Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that could be done on the system as their state representation, and have model parameters that define how the predictive state representation changes over time as ac...More

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