Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies

This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foun...

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Bibliographic Details
Main Author:	Deng, Hanzhi
Other Authors:	Jun Zhao
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Computer and Information Science Reinforcement learning
Online Access:	https://hdl.handle.net/10356/175013
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1750132024-04-19T15:46:01Z Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies Deng, Hanzhi Jun Zhao School of Computer Science and Engineering junzhao@ntu.edu.sg Computer and Information Science Reinforcement learning This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foundation for more immersive, efficient, and user-focused virtual experiences, signifying a significant leap in the domain of 360-degree video streaming technology. Bachelor's degree 2024-04-18T07:19:13Z 2024-04-18T07:19:13Z 2024 Final Year Project (FYP) Deng, H. (2024). Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175013 https://hdl.handle.net/10356/175013 en SCSE23-0299 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Computer and Information Science Reinforcement learning
spellingShingle	Computer and Information Science Reinforcement learning Deng, Hanzhi Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
description	This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foundation for more immersive, efficient, and user-focused virtual experiences, signifying a significant leap in the domain of 360-degree video streaming technology.
author2	Jun Zhao
author_facet	Jun Zhao Deng, Hanzhi
format	Final Year Project
author	Deng, Hanzhi
author_sort	Deng, Hanzhi
title	Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_short	Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_full	Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_fullStr	Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_full_unstemmed	Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_sort	variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
publisher	Nanyang Technological University
publishDate	2024
url	https://hdl.handle.net/10356/175013
_version_	1814047303063830528

Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies

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