Detail publikace

STOCHASTIC POLICY IN Q-LEARNING USED FOR CONTROL OF AMB

BŘEZINA, T. KREJSA, J. VĚCHET, S.

Český název

STOCHASTIC POLICY IN Q-LEARNING USED FOR CONTROL OF AMB

Anglický název

STOCHASTIC POLICY IN Q-LEARNING USED FOR CONTROL OF AMB

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-learning algorithm used on active magnetic bearing (AMB) model. Stochastic strategy and adaptive integration step increased the speed of learning approximately hundred times. Impossibility of using proposed improvement online is the only drawback, however it might be used for pretraining on simulation model and further fined online.

Český abstrakt

A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-learning algorithm used on active magnetic bearing (AMB) model. Stochastic strategy and adaptive integration step increased the speed of learning approximately hundred times. Impossibility of using proposed improvement online is the only drawback, however it might be used for pretraining on simulation model and further fined online.

Anglický abstrakt

A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-learning algorithm used on active magnetic bearing (AMB) model. Stochastic strategy and adaptive integration step increased the speed of learning approximately hundred times. Impossibility of using proposed improvement online is the only drawback, however it might be used for pretraining on simulation model and further fined online.

Klíčová slova česky

Reinforcement Learning, Q-learning, Active Magnetic Bearing

Klíčová slova anglicky

Reinforcement Learning, Q-learning, Active Magnetic Bearing

Rok RIV

2002

Vydáno

13.05.2002

Nakladatel

Institute of Mechanics of Solids, Faculty of Mechanical Engineering, Brno University of Technology

Místo

Brno

ISBN

80-214-2109-6

Kniha

Inženýrská mechanika 2002

Číslo edice

1

Počet stran

2

BIBTEX


@inproceedings{BUT9663,
  author="Tomáš {Březina} and Jiří {Krejsa} and Stanislav {Věchet},
  title="STOCHASTIC POLICY IN Q-LEARNING USED FOR CONTROL OF AMB",
  booktitle="Inženýrská mechanika 2002",
  year="2002",
  month="May",
  publisher="Institute of Mechanics of Solids, Faculty of Mechanical Engineering, Brno University of Technology",
  address="Brno",
  isbn="80-214-2109-6"
}