Skip to main content
SpringerLink
Log in

Summary and Future Directions

  • Chapter
  • First Online:
Recent Advances in Learning Automata

Part of the book series: Studies in Computational Intelligence ((SCI,volume 754))

  • 776 Accesses

Abstract

Learning automaton (LA) is an effective decision making agent, especially within unknown stochastic environments. This book aims at collecting recent theoretical advancements as well as applied experiences of LAs in different research areas of the computer science discipline.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

  1. Department of Computer Engineering and Information Technology, Institute for Research in Fundamental Sciences (IPM), School of Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Alireza Rezvanian

  2. Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Ali Mohammad Saghiri

  3. Faculty of Electrical and Computer Engineering, Department of Computer Engineering, University of Kashan, Kashan, Iran

    Seyed Mehdi Vahidipour

  4. Faculty of Computer Engineering, K.N.Toosi University of Technology, Tehran, Iran

    Mehdi Esnaashari

  5. Soft Computing Laboratory, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Mohammad Reza Meybodi

Authors
  1. Alireza Rezvanian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ali Mohammad Saghiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Seyed Mehdi Vahidipour
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mehdi Esnaashari
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mohammad Reza Meybodi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alireza Rezvanian .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rezvanian, A., Saghiri, A.M., Vahidipour, S.M., Esnaashari, M., Meybodi, M.R. (2018). Summary and Future Directions. In: Recent Advances in Learning Automata. Studies in Computational Intelligence, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-72428-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72428-7_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72427-0

  • Online ISBN: 978-3-319-72428-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation