On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

Author:

Zhang Xuan,Granmo Ole-Christoffer,Oommen B. John

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference38 articles.

1. Zhang X, Granmo O-C, Oommen BJ (2012) Discretized Bayesian pursuit—a new scheme for reinforcement learning. In: IEA-AIE 2012, Dalian, China, Jun 2012, pp 784–793

2. Zhang X, Granmo O-C, Oommen BJ (2011) The Bayesian pursuit algorithm: a new family of estimator learning automata. In: IEA-AIE 2011. Springer, New York, pp 608–620

3. Thathachar M, Sastry P (1986) Estimator algorithms for learning automata. In: The platinum jubilee conference on systems and signal processing, Bangalore, India, Dec 1986, pp 29–32

4. Tsetlin M (1963) Finite automata and the modeling of the simplest forms of behavior. Usp Mat Nauk 8:1–26

5. Narendra KS, Thathachar MAL (1989) Learning automat: an introduction. Prentice Hall, New York

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