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About ML Notes 1
This document discusses the design of a machine learning system to learn how to play checkers at a world championship level. It outlines three key parts of the design: 1) The training experience will involve the system playing games against itself to generate data without needing an external trainer. 2) Rather than directly learning which move to select for each board state, the target function will be an evaluation function V that scores each board state. This will be easier to learn from self-play data. 3) The final parts of the design that need to be determined are the representation for storing the target evaluation function V, and the learning mechanism that will be used to discover the function from experience.
Detailed Information
| Author: | ['Janhavi Vishwanath'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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