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11 - Computer Science and Informatics

University of Salford

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Article title

Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning

Type

D - Journal article

DOI

10.1109/TFUZZ.2010.2081994

Title of journal

IEEE Transactions on Fuzzy Systems

Article number

Volume number

Issue number

First page of article

ISSN of journal

1941-0034

Year of publication

2011

URL

Number of additional authors

Additional information

<24>This paper proposes a novel probabilistic Reinforcement Learning approach named (GPFRL) which combines fuzzy theory with probability theory to enhances the learning capability of systems in real world environments. This paper has been cited 11 times by the most prolific authors in the area of fuzzy systems and has been published in a leading journal of artificial intelligence with an impact factor of 4.8. The techniques developed are being used in the GAMMA project in Workpackage on “Data managements and mission planning” that the University of Salford is leading. See http://gammaprogramme.co.uk/first-industry-and-academia-collaborative-projects-launched-through-the-gamma-programme/.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract