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  • A performance of two learning mechanisms for small mobile robots is performed in this paper. Relational reinforcement learning, and radial basis function neural network learned by evolutionary algorithm are trained to perform the same maze exploration task and the results were compared in terms learning speed, accuracy and compactness of the resulting control mechanisms. Advantages of the chosen methods are discussed.
  • A performance of two learning mechanisms for small mobile robots is performed in this paper. Relational reinforcement learning, and radial basis function neural network learned by evolutionary algorithm are trained to perform the same maze exploration task and the results were compared in terms learning speed, accuracy and compactness of the resulting control mechanisms. Advantages of the chosen methods are discussed. (en)
Title
  • Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots
  • Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots (en)
skos:prefLabel
  • Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots
  • Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots (en)
skos:notation
  • RIV/67985807:_____/08:00331007!RIV10-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 386242
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/08:00331007
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • neural networks; radial basis functions; reinforcement learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BA279053B6C7]
http://linked.open...v/mistoKonaniAkce
  • Sanya
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Second International Conference on Future Generation Communication and Networking Symposia
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neruda, Roman
  • Slušný, Stanislav
  • Kudová, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000270432000094
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4244-3430-5
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