Abstract:

 Predictive state representations (PSR) is a novel method for modeling discrete dynamic systems. PSR represents the system′s state using a set of prediction vectors of action-observation sequence. It surveyed basic concepts, problems, methods and latest extended applications of PSR, and points out the development future of the PSR model.

Key words: linear predictive state representations, discovering core tests, learning parameters