Action Strategies in Intelligent Reinforcement Learning Environments

Action Strategies in Intelligent Reinforcement Learning Environments

For a hybrid intelligent learning environment, strategies for choosing actions that are aimed at implementing events related to the study of fragments of the studied material are considered. One of them, the so-called primitive strategy, involves the implementation of each next initialized event fro...

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Bibliographic Details
Main Authors: Pavel Basalin, Dmitrii Kulikov
Format: Article
Language:Russian
Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2021-04-01
Series:Современные информационные технологии и IT-образование
Subjects:
hybrid intelligent learning environment
adaptation with reinforcement
strategies for choosing actions
primitive strategy
adaptive strategy
Online Access:http://sitito.cs.msu.ru/index.php/SITITO/article/view/735

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