james2004learning: Learning and Discovery of Predictive State Representations in Dynamical Systems with Reset

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tags

PSR

source

link

authors

James, M. R., & Singh, S.

year

2004

This paper provides a new algorithm for learning linear-PSRs in partially observable dynamical systems w/ reset and a new algorithm for the discovery of PSRs from data. Overall, the algorithm works better than previous attempts (i.e. (Singh, James, and Rudary 2004; Singh et al. 2003)).

While the algorithm does better than previously and the discovery algorithm is definitely a start, relying on a reset action seems to be a hard limitation in many more interesting dynamical systems. Particularly the examples used (i.e. the classic POMDP suite of experiments) had to be altered for the algorithm to work.

References