• DocumentCode
    3674173
  • Title

    The implementation of reinforcement learning algorithms on the elevator control system

  • Author

    Hang Li

  • Author_Institution
    Institute of Automation and Information System, Technische Universitä
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The machine learning technology has been implemented in control systems successfully especially in the stochastic process. Among the machine learning algorithms, the reinforcement learning algorithm is fairly significant. On the other hand, the elevator, as a facility in daily life, is implemented with several heuristic control methods in the past practice. Simultaneously, the elevator working procedure can be viewed as a stochastic process, so this paper tries to discuss the implementation of several reinforcement learning algorithms on the elevator control system. Through the application of the reinforcement learning algorithms, the elevator system can perform better.
  • Keywords
    "Elevators","Floors","Learning (artificial intelligence)","Machine learning algorithms","Control systems","Algorithm design and analysis","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on
  • Type

    conf

  • DOI
    10.1109/ETFA.2015.7301554
  • Filename
    7301554