FIRM AUTOMATION: A REINFORCEMENT LEARNING APPROACH

Ipseeta Nanda () and Rajesh De
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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

Information Management and Computer Science (IMCS), 2022, vol. 5, issue 2, 28-30

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.

Keywords: Computerized Farm; Reinforcement Learning; Computation Creativity; Art Learning; AI in Agriculture (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbimcs:v:5:y:2022:i:2:p:28-30

DOI: 10.26480/imcs.02.2022.28.30

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