Course-Scheduling Algorithm of Option-Based Hierarchical Reinforcement Learning

Author

Ming, Guo Fang ; Hua, Song

Author_Institution

Acad. Adm., WuHan Univ. of Technol., Wuhan, China

Volume

1

fYear

2010

fDate

6-7 March 2010

Firstpage

288

Lastpage

291

Abstract

This paper proposes applying Option-based hierarchical reinforcement learning algorithm to timetable scheduling strategy learning in colleges and universities so as to enhance the performance of traditional reinforcement learning course-scheduling algorithm. From experimentation and application in course-scheduling system, it can be seen that Option-based hierarchical reinforcement learning course scheduling algorithm has a better effect than traditional reinforcement learning course-scheduling algorithm.

Keywords

computer aided instruction; educational courses; learning (artificial intelligence); scheduling; course-scheduling algorithm; option-based hierarchical reinforcement learning; timetable scheduling strategy learning; Clustering algorithms; Computer science education; Educational technology; Feedback; Machine learning; Machine learning algorithms; Paper technology; Scheduling algorithm; Space technology; State-space methods; Option algorithm; Q-learning algorithm; course-scheduling algorithm; reinforcement learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6388-6

Electronic_ISBN

978-1-4244-6389-3

Type

conf

DOI

10.1109/ETCS.2010.584

Filename

5459064