Reinforcement Learning: A Comprehensive Overview

Abstract

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.

Authors and Affiliations

Priyanka Makkar

Keywords

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  • EP ID EP745013
  • DOI 10.55524/ijircst.2024.12.2.21
  • Views 47
  • Downloads 0

How To Cite

Priyanka Makkar (2024). Reinforcement Learning: A Comprehensive Overview. International Journal of Innovative Research in Computer Science and Technology, 12(2), -. https://europub.co.uk/articles/-A-745013