نتایج جستجو برای: q bitopological space

تعداد نتایج: 604358  

2014
Basavaraj M. Ittanagi Muhammad Shabir Munazza Naz

N. Cagman, S. Karatas and S. Enginoglu, Soft topology, Comput. Math. Appl. 62 (2011), 351-358. D. Chen, The parametrization reduction of soft sets and its applications, Comput. Math. Appl. 49 (2005) 757-763. F. Feng, Y. B. Jun, X. Z. Zhao, Soft semirings, Comput. Math. Appl. 57 (2009), 1547-1553. J. C. Kelly, Bitopological spaces, Proc. London Math. Soc. , 13 (1963), 71-81. P. K. Maji, R. Biswa...

Journal: :International Journal of Computer Applications 2014

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2014
Jin Tae Kim Seok-Jong Lee

In this paper, we introduce intuitionistic smooth bitopological spaces and the notions of intuitionistic fuzzy semiinterior and semiclosure. Based on these concepts, the characterizations for the intuitionistic fuzzy pairwise semicontinuous mappings are obtained.

Journal: :Journal of the Australian Mathematical Society 1972

Journal: :Communications Faculty of Sciences University of Ankara. Series A1: mathematics and statistics 2021

The purpose of this paper is to investigate properties and results the almost Hurewicz property in bitopological spaces. We characterize using $(i, j)$- regular open sets continuous surjective map.

Journal: :CoRR 2017
David Von Dollen

Given an environment with continuous state spaces and discrete actions, we investigate using a Double Deep Q-learning Reinforcement Agent to find optimal policies using the LunarLander-v2 OpenAI gym environment.

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2009
Seung-On Lee Eun-Pyo Lee

In this paper, we introduce the concepts of fuzzy pairwise (r, s)-irresolute, fuzzy pairwise (r, s)-presemiopen and fuzzy pairwise (r, s)-presemiclosed mappings in smooth bitopological spaces and then we investigate some of their characteristic properties.

2007
Hajime Murao Shinzo Kitamura

In this paper, we propose Q-learning with adaptive state segmentation (QLASS). QLASS provides an e cient method to construct state space suitable for Q-learning to accomplish the task in a continuous sensor space. In QLASS, the robot starts with single state covering whole sensor space. The sensor space is segmented incrementally based on sensor vectors and reinforcement signals. The segmented ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید