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Firm Automation: A Reinforcement Learning Approach

Author

Listed:
  • Ipseeta Nanda

    (Faculty of Information Technology, Gopal Narayan Singh University, Jamuhar, Sasaram, Bihar-821305, India)

  • Rajesh De

    (Faculty of Information Technology, Gopal Narayan Singh University, Jamuhar, Sasaram, Bihar-821305, India)

Abstract

In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning.

Suggested Citation

  • Ipseeta Nanda & Rajesh De, 2022. "Firm Automation: A Reinforcement Learning Approach," Information Management and Computer Science (IMCS), Zibeline International Publishing, vol. 5(2), pages 28-30, November.
    • Handle: RePEc:zib:zbimcs:v:5:y:2022:i:2:p:28-30
    DOI: 10.26480/imcs.02.2022.28.30
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