How much is too much? The utility of learning materials in online learning

Reinforcement learning is a machine learning method, which is an unsupervised one which situations are mapped to actions. It is to determine the optimal path or method by receiving feedback signal that is also known as the reward. The objective is to find out if more accesses of learning materials w...

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Main Author:	Chua, Xin Fang
Other Authors:	Andy Khong Wai Hoong
Format:	Final Year Project
Language:	English
Published:	2018
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/75394
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-753942023-07-07T17:15:55Z How much is too much? The utility of learning materials in online learning Chua, Xin Fang Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Reinforcement learning is a machine learning method, which is an unsupervised one which situations are mapped to actions. It is to determine the optimal path or method by receiving feedback signal that is also known as the reward. The objective is to find out if more accesses of learning materials would provide with more effective learning. This paper will discuss on one of the reinforcement learning methods, Q Learning, and how this algorithm helps to achieve the objective of the project. It will be explained in the context of a game and a case study. Experimental results are supported together with the theory behind Q Learning. Bachelor of Engineering 2018-05-31T03:19:57Z 2018-05-31T03:19:57Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75394 en Nanyang Technological University 48 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Chua, Xin Fang How much is too much? The utility of learning materials in online learning
description	Reinforcement learning is a machine learning method, which is an unsupervised one which situations are mapped to actions. It is to determine the optimal path or method by receiving feedback signal that is also known as the reward. The objective is to find out if more accesses of learning materials would provide with more effective learning. This paper will discuss on one of the reinforcement learning methods, Q Learning, and how this algorithm helps to achieve the objective of the project. It will be explained in the context of a game and a case study. Experimental results are supported together with the theory behind Q Learning.
author2	Andy Khong Wai Hoong
author_facet	Andy Khong Wai Hoong Chua, Xin Fang
format	Final Year Project
author	Chua, Xin Fang
author_sort	Chua, Xin Fang
title	How much is too much? The utility of learning materials in online learning
title_short	How much is too much? The utility of learning materials in online learning
title_full	How much is too much? The utility of learning materials in online learning
title_fullStr	How much is too much? The utility of learning materials in online learning
title_full_unstemmed	How much is too much? The utility of learning materials in online learning
title_sort	how much is too much? the utility of learning materials in online learning
publishDate	2018
url	http://hdl.handle.net/10356/75394
_version_	1772828209625169920

How much is too much? The utility of learning materials in online learning

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