DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING

Master's

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Bibliographic Details
Main Author: WEI KEXIN
Other Authors: MECHANICAL ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2022
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/226245
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2262452022-05-31T18:00:48Z DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING WEI KEXIN MECHANICAL ENGINEERING Chee Kong Chui Deep Reinforcement Learning, Surgical Training, Cyber-Physical System, Mass Tesnsor Method Master's MASTER OF ENGINEERING (FOE) 2022-05-31T18:00:48Z 2022-05-31T18:00:48Z 2022-01-25 Thesis WEI KEXIN (2022-01-25). DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/226245 0000-0001-5555-7592 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Deep Reinforcement Learning, Surgical Training, Cyber-Physical System, Mass Tesnsor Method
spellingShingle Deep Reinforcement Learning, Surgical Training, Cyber-Physical System, Mass Tesnsor Method
WEI KEXIN
DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
description Master's
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
WEI KEXIN
format Theses and Dissertations
author WEI KEXIN
author_sort WEI KEXIN
title DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
title_short DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
title_full DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
title_fullStr DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
title_full_unstemmed DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGICAL TRAINING
title_sort deep reinforcement learning for robot-assisted surgical training
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/226245
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