Create the rules in the R-Table and the predicted values of state-action pairs in the Q-Table! Introducing the Q-Learning algorithm.
★★Shirutoku Report: Useful Information You Can Benefit From★★ The most challenging aspect I encountered while developing programs was the implementation of algorithms. There are many interesting algorithms, and recently I had the opportunity to explore Q-Learning, which is a type of reinforcement learning related to machine learning. I created a program (Cheese Puzzle Simulator) to demonstrate it. Q-Learning is one of the algorithms in reinforcement learning and is utilized in various fields, from autonomous driving to fintech. In this report, I would like to briefly introduce the Q-Learning algorithm. For more details, please feel free to read on. [Contents] ■Challenges ■Explanations *For more information, please refer to the PDF document or feel free to contact us.*
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As a development and design company, we promote the development, design, and evaluation of semiconductor peripheral circuits and application products through simulation technology.

