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Description
  • An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered — new direction of reinforcement learning called relational reinforcement learning, and a radial basis function neural network trained by evolutionary algorithm. Relational reinforcement learning is a new interdisciplinary approach combining logical programming with traditional reinforcement learning. Radial basis function networks offer wider interpretation possibilities than commonly used multilayer perceptrons. Results are discussed on the maze exploration problem.
  • An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered — new direction of reinforcement learning called relational reinforcement learning, and a radial basis function neural network trained by evolutionary algorithm. Relational reinforcement learning is a new interdisciplinary approach combining logical programming with traditional reinforcement learning. Radial basis function networks offer wider interpretation possibilities than commonly used multilayer perceptrons. Results are discussed on the maze exploration problem. (en)
  • Článek sa zabývá možnostmi vývoje inteligentního chování. Výsledky jsou diskutovány na jedné ze základaních úloh v robotice - prohledávání bludiště. Zaměřuje se na dvě nejčastěji používané metody učení v robotice - variatnu metody %22Reinforcement Learning%22 a na neuronové sítě. (cs)
Title
  • Learning Algorithms for Small Mobile Robots: Case Study on Maze Exploration
  • Learning Algorithms for Small Mobile Robots: Case Study on Maze Exploration (en)
  • Učící algoritmy pro miniaturní roboty: Studie na úloze prohledávání bludiště (cs)
skos:prefLabel
  • Learning Algorithms for Small Mobile Robots: Case Study on Maze Exploration
  • Learning Algorithms for Small Mobile Robots: Case Study on Maze Exploration (en)
  • Učící algoritmy pro miniaturní roboty: Studie na úloze prohledávání bludiště (cs)
skos:notation
  • RIV/67985807:_____/08:00315195!RIV09-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(GD201/05/H014), 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
  • 376412
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/08:00315195
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • reinforcement learning; neural networks; evolutionary robotics (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [13B6871049F5]
http://linked.open...v/mistoKonaniAkce
  • Hrebienok
http://linked.open...i/riv/mistoVydani
  • Košice
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  • Information Technologies - Applications and Theory
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neruda, Roman
  • Vidnerová, Petra
  • Slušný, Stanislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Prírodovedecká fakulta, Univerzita P.J. Šafárika
https://schema.org/isbn
  • 978-80-969184-9-2
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