A Survey of Predictive State Representations
نویسنده
چکیده
Predictive State Representations (PSRs) [10] are a model for a discrete-time finite action and observation stochastic systems, presented as an alternative to HMMs and POMDPs. A PSR represents the system’s state as a set of predictions of the observable outcomes of tests performed in the system. Unlike hidden variable models no latent variables are assumed or required – only observable outcomes matter. The basic idea of PSRs is relatively simple. The open problems are learning compact PSRs, and acting under them.
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