DocumentCode :
514794
Title :
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
Link To Document :
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