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SUPERVISED MACHINE LEARNING (SML) IN SIMULATED ENVIRONMENTS
Mälardalen University, School of Innovation, Design and Engineering.
2021 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Artificial intelligence has made a big impact on the world in recent years, and more knowledge inthe subject seems to be of vital importance as the possibilities seems endless. Is it possible to teacha computer to drive a car in a virtual environment, by training a neural network to act intelligentlythrough the usage of supervised machine learning? With less than 2 hours of data collected whenpersonally driving the car, I show that yes, it is indeed possible. This is done by applying thetechniques of supervised machine learning combined in conjunction with a deep convolutional neuralnetwork. This were applied through software developed to interact between the network and the agentinside the virtual environment. I believe the dataset could have been cut down to about 10 percentof the size and still achieve the research goal. This shows not just the possibility of teaching aneural network a good policy in stochastic environments with supervised machine learning, but alsothat it can draw accurate (enough) conclusions to imitate human behavior when driving a car.

Place, publisher, year, edition, pages
2021. , p. 51
Keywords [en]
AI, supervised learning, CNN
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-54698OAI: oai:DiVA.org:mdh-54698DiVA, id: diva2:1564387
Subject / course
Computer Science
Presentation
2021-06-04, 14:07 (English)
Supervisors
Examiners
Available from: 2021-06-11 Created: 2021-06-11 Last updated: 2021-06-11Bibliographically approved

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fulltext(3050 kB)249 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf