Volume- 12
Issue- 2
Year- 2024
DOI: 10.55524/ijircst.2024.12.2.21 | DOI URL: https://doi.org/10.55524/ijircst.2024.12.2.21 Crossref
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Priyanka Makkar
Machine Learning is one of the most essential parts of Artificial Intelligence. Machine learning now exists as an important innovation and has a sufficient number of uses. Reinforcement Learning is one of the largest Machine Learning applications that enable machines and software agents to work more precisely and resolve behaviors within a specific context in order to maximize their performance. The self-improvement feature, web-based learning, and minimal effort of Strengthening Learning helped the machines become smart agents in basic technology. With the development of robust and effective algorithms, there is still a lot of work to be done. Therefore, the main purpose of this study is to provide Confirmation Learning reviews and applications using various algorithms from a machine learning perspective.
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Assistant Professor, Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India
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