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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39876
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Machine learning is the most significant part and area of artificial intelligence; it has emerged as a more effective tool for building intelligent systems for solving and taking action and decision-making problems enforcement learning has evolved. Reinforcement learning is developing more and more through learning by trial and error. This research paper elaborates on how reinforcement learning helps in the real world and their applications. How they work through reinforcement learning, and how they learn about the environment through trial and error.
KEYWORDS
Publication Date
12/18/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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