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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

MACHINE LEARNING: REINFORCEMENT LEARNING[A]

Dr. A. R. Muralidharan*

ABSTRACT

In this current scenario, the application and domination of machines (computers and related gadgets) are unavoidable around the globe. The machine can be replaced in human brains, such as decision making and prediction of the cause and effects. The word “Machine Learning” is the current trend. All Industries and social domains are turned to this buzzword. Thus it has important in aware of these related techniques. There are several methods to handle the data based on the situations faced by the end-user. This classification includes. Supervised, semi- supervised, unsupervised and reinforcement learning (RL). In this article, the author made the discussion on Reinforcement learning and its related concepts.

[Full Text Article]