A comparative study between motivated learning and reinforcement learning

A comparative study between motivated learning and reinforcement learning

This paper analyzes advanced reinforcement learning techniques and compares some of them to motivated learning. Motivated learning is briefly discussed indicating its relation to reinforcement learning. A black box scenario for comparative analysis of learning efficiency in autonomous agents is deve...

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Bibliographic Details
Main Authors: GRAHAM, James T., STARZYK, Janusz A., NI, Zhen, HE, Haibo, TENG, T.-H., TAN, Ah-Hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
motivated learning
reinforcement learning
goal creation
pain signals
desired resources
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/5383
https://ink.library.smu.edu.sg/context/sis_research/article/6387/viewcontent/PID3666681.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:This paper analyzes advanced reinforcement learning techniques and compares some of them to motivated learning. Motivated learning is briefly discussed indicating its relation to reinforcement learning. A black box scenario for comparative analysis of learning efficiency in autonomous agents is developed and described. This is used to analyze selected algorithms. Reported results demonstrate that in the selected category of problems, motivated learning outperformed all reinforcement learning algorithms we compared with.

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