Toward Z-number Valued Reinforcement Learning Problem

Jabbarova K., Huseynov O., Jabbarova A. I.

12th World Conference on Intelligent Systems for Industrial Automation, WCIS 2022, Tashkent, Uzbekistan, 25 - 26 November 2022, vol.718 LNNS, pp.352-360 identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 718 LNNS
  • Doi nömrəsi: 10.1007/978-3-031-51521-7_44
  • Çap olunduğu şəhər: Tashkent
  • Ölkə: Uzbekistan
  • Səhifə sayı: pp.352-360
  • Açar sözlər: fuzzy number, reinforcement learning, uncertainty, Z-number
  • Adres: Bəli

Qısa məlumat

Real-world decision-making problems are characterized by a fusion of fuzzy and probabilistic uncertainties. In view of this, Zadeh introduced the concept of Z-number to describe imprecision and partial reliability of decision relevant information. In this paper we proposed an approach to solving Q-learning problem where rewards and constraints over actions are described by using Z-numbers. A typical decision problem is used to illustrate the approach.