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Description
  • Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three inndependent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement, robust to high level of noise.
  • Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three inndependent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement, robust to high level of noise. (en)
  • Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three inndependent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement, robust to high level of noise. (cs)
Title
  • Use of continous action reinforcement learning automata for asynchronous electromotro control
  • Use of continous action reinforcement learning automata for asynchronous electromotro control (en)
  • Use of continous action reinforcement learning automata for asynchronous electromotro control (cs)
skos:prefLabel
  • Use of continous action reinforcement learning automata for asynchronous electromotro control
  • Use of continous action reinforcement learning automata for asynchronous electromotro control (en)
  • Use of continous action reinforcement learning automata for asynchronous electromotro control (cs)
skos:notation
  • RIV/00216305:26210/04:PU45626!RIV/2005/MSM/262105/N
http://linked.open.../vavai/riv/strany
  • 53-54
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 261100009), Z(MSM 262100024)
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
  • 591649
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/04:PU45626
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Asynchronous electromotor, CARLA, PSD Controller, Control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7B0891CD9C2A]
http://linked.open...v/mistoKonaniAkce
  • Svratka
http://linked.open...i/riv/mistoVydani
  • Svratka
http://linked.open...i/riv/nazevZdroje
  • Enigneering Mechanics 2004, National Conference with International Participation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Březina, Tomáš
  • Turek, Milan
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
  • Ústav termomechaniky AV ČR
https://schema.org/isbn
  • 80-85918-8
http://localhost/t...ganizacniJednotka
  • 26210
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