A Self-Organising State Space Decoder for Reinforcement Learning

Marriott, S. and Harrison, R.F. (1995) A Self-Organising State Space Decoder for Reinforcement Learning. Research Report. ACSE Research Report 582 . Department of Automatic Control and Systems Engineering

Abstract

Metadata

Authors/Creators:
  • Marriott, S.
  • Harrison, R.F.
Copyright, Publisher and Additional Information: The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords: Adaptive-resonance theory; Fuzzy ARTMAP,; Reinforcement learning; Incremental clustering; Euclidean clustering; Neurocontroller; Self organising systems.
Dates:
  • Published: June 1995
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User: MRS ALISON THERESA BARNETT
Date Deposited: 11 Aug 2014 10:41
Last Modified: 24 Oct 2016 19:28
Status: Published
Publisher: Department of Automatic Control and Systems Engineering
Series Name: ACSE Research Report 582

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