title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ ÑÐ°Ñ Ð¼Ð°ÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of learning chess program
Creators: name: Ð¢Ð°ÑÐ°ÑÐ¾Ð², ÐÐ¸ÐºÐ¸ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ°Ñ Ð¼Ð°ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ñ ÑÑÐ¸ÑÐµÐ»ÐµÐ¼
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ñ Ð¿Ð¾Ð´ÐºÑÐµÐ¿Ð»ÐµÐ½Ð¸ÐµÐ¼
Ð´Ð°ÑÐ°ÑÐµÑ
chess
machine learning
learning with a teacher
classification
reinforcement learning
dataset

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: âÐ Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ ÑÐ°ÑÐ¼Ð°ÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñâ ÐÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð°Ð´Ð°Ð¿ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. Ð ÑÐ°Ð¼ÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ ÑÐ°Ð·Ð½ÑÐµ Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð² ÑÑÐ¸Ñ Ð¾Ð±Ð»Ð°ÑÑÑÑ. Ð¢Ð°Ðº Ð¶Ðµ Ð±ÑÐ» ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½ Ð¿ÑÐ¾ÑÐµÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð´Ð°ÑÐ°ÑÐµÑÐ°. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÐºÐ»ÑÑÐ°ÐµÑ Ð² ÑÐµÐ±Ñ, Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÑÐ°ÑÐ¼Ð°Ñ, Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ Ð² Ð¼Ð°Ð»Ð¾-Ð·Ð°ÑÑÐ¾Ð½ÑÑÑÑ Ð°ÑÐ¿ÐµÐºÑÐ°Ñ ÑÑÐ¾Ð¹ Ð¸Ð³ÑÑ, Ð½Ð°Ð¿ÑÐ¸Ð¼ÐµÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ¾Ð´Ð¾Ð². ÐÐ»Ð°Ð²Ð½Ð¾Ð¹ ÑÐµÐ»ÑÑ ÑÐ²Ð»ÑÐ»Ð¾ÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ ÑÐ¼ÐµÑÑÐµÐ¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ ÑÐ´ÐµÐ»Ð°Ð½Ð½ÑÐµ Ð¸Ð³ÑÐ¾ÐºÐ¾Ð¼ Ð¾ÑÐ¸Ð±ÐºÐ¸ Ð² Ð¿Ð°ÑÑÐ¸ÑÑ, Ñ Ð¸Ñ Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÑÐ¸Ð¼ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð´Ð»Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÐ°ÑÐ¼Ð°ÑÐ½ÑÑ ÑÑÐµÐ½Ð¸ÑÐ¾Ð²Ð¾Ðº, Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÑ Ð½Ð° ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ðµ Ð½Ð°Ð²ÑÐºÐ¾Ð² Ð¸Ð³ÑÑ. Ð ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ°ÑÐ¼Ð°ÑÐ½ÑÑ Ð¾ÑÐ¸Ð±Ð¾Ðº, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° ÑÐ²ÐµÐ´ÐµÐ½Ð¸Ð¸ ÑÐ°ÑÐ¼Ð°ÑÐ½Ð¾Ð¹ Ð¿Ð¾Ð·Ð¸ÑÐ¸Ð¸ Ðº Ð½ÐµÐºÐ¾ÑÐ¾ÑÐ¾Ð¼Ñ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ñ ÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð². Ð¢Ð°Ðº Ð¶Ðµ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð° Ð¸Ð´ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð´ÐºÑÐµÐ¿Ð»ÐµÐ½Ð¸ÐµÐ¼ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ Ð±ÐµÑÐºÐ¾Ð½ÐµÑÐ½ÑÑ Ð·Ð°Ð´Ð°Ñ, Ð´Ð»Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ ÑÐ¿Ð¾ÑÐ¾Ð±Ð½ÑÑ Ð¾Ð±ÑÑÐ°ÑÑ Ð»ÑÐ´ÐµÐ¹ ÑÐ°Ð¼Ð¾ÑÑÐ¾ÑÑÐµÐ»ÑÐ½Ð¾, ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²ÑÑÑÑ ÑÐ¾ Ð²ÑÐµÐ¼ÐµÐ½ÐµÐ¼.
description: Subject matter of the graduate qualification work: "Development of learning chess program". The graduate qualification work of the bachelor is devoted to research of adaptive learning with the help of neural networks. Within the framework of the work different areas of machine learning and several approaches and methods in these areas were studied. Also, the process of creation of own dataset has been considered. The work includes, investigating the use of neural networks in chess, especially in the less-affected aspects of this game such as move classification. The main goal was to create a program able to classify mistakes made by a player in games, with their subsequent use for the generation of chess training aimed at the development of chess skills. In this work I have developed my own approach to classification of chess errors, based on reducing a chess position to several numerical signs. Also, the idea of using reinforcement learning methods in the context of infinite tasks, to create models capable of training people independently, improving over time, is propose.