Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Anshuka"'
Publikováno v:
Axioms, Vol 12, Iss 7, p 646 (2023)
We establish a new fixed point theorem in the setting of convex b-metric spaces that ensures the existence of fixed point for Cirić contraction with the assumption k<1s2. Also, the fixed point is approximated by Krasnoselskij iterative procedure. Mo
Externí odkaz:
https://doaj.org/article/0d6331ea507143bda48549d05b0d2162
Publikováno v:
Fractal and Fractional, Vol 7, Iss 1, p 60 (2023)
We present a significant example to show that the class of v-generalized b-metric spaces properly contains the class of v-generalized metric spaces as well as b-metric spaces. This is accomplished because the example provided by Došenović et al. (2
Externí odkaz:
https://doaj.org/article/c425e0aca6a542b98cdb9441e13c468a
Autor:
Anshuka A. Agrawal, Abhay P. Kolte, Rajashri A. Kolte, Varsha Vaswani, Usha Shenoy, Prachi Rathi
Publikováno v:
Saudi Dental Journal, Vol 31, Iss 1, Pp 58-65 (2019)
Purpose: Procedures such as Periodontally Accelerated Osteogenic Orthodontics (PAOO) support the use of osteotomy to aid tooth movement and rapid distraction of the periodontal ligament by utilizing tissue engineering principles with periodontal rege
Externí odkaz:
https://doaj.org/article/735bfff4cd1049bdbac68028b6e80c58
Publikováno v:
Mathematics, Vol 10, Iss 3, p 466 (2022)
We establish a fixed point theorem for Cirić contraction in the context of convex b-metric spaces. Furthermore, we ensure that there is a fixed point for the maps satisfying the condition (B) (a kind of almost contraction) in convex b-metric spaces
Externí odkaz:
https://doaj.org/article/276ee653d02244a1b928452c19b1e158
Autor:
Ren, Yinuo, Xiao, Tesi, Gangwani, Tanmay, Rangi, Anshuka, Rahmanian, Holakou, Ying, Lexing, Sanyal, Subhajit
Multi-objective optimization (MOO) aims to optimize multiple, possibly conflicting objectives with widespread applications. We introduce a novel interacting particle method for MOO inspired by molecular dynamics simulations. Our approach combines ove
Externí odkaz:
http://arxiv.org/abs/2311.13159
Publikováno v:
Contemporary Clinical Dentistry, Vol 8, Iss 3, Pp 433-438 (2017)
Aim: The aim of this study was to evaluate root surface alterations in terms of location, length, and depth of root resorption in the gingival, middle, and apical third of the mesial and distal surfaces of the root in healthy and periodontally affect
Externí odkaz:
https://doaj.org/article/404d1d6dbf2a4c4f92962826a99aac45
Autor:
Krishnamurthy, Sanath Kumar, Gangwani, Tanmay, Katariya, Sumeet, Kveton, Branislav, Modi, Shrey, Rangi, Anshuka
We consider the finite-horizon offline reinforcement learning (RL) setting, and are motivated by the challenge of learning the policy at any step h in dynamic programming (DP) algorithms. To learn this, it is sufficient to evaluate the treatment effe
Externí odkaz:
http://arxiv.org/abs/2302.00284
Motivated by cognitive radios, stochastic Multi-Player Multi-Armed Bandits has been extensively studied in recent years. In this setting, each player pulls an arm, and receives a reward corresponding to the arm if there is no collision, namely the ar
Externí odkaz:
http://arxiv.org/abs/2211.07817
To understand the security threats to reinforcement learning (RL) algorithms, this paper studies poisoning attacks to manipulate \emph{any} order-optimal learning algorithm towards a targeted policy in episodic RL and examines the potential damage of
Externí odkaz:
http://arxiv.org/abs/2208.13663
We study bandit algorithms under data poisoning attacks in a bounded reward setting. We consider a strong attacker model in which the attacker can observe both the selected actions and their corresponding rewards and can contaminate the rewards with
Externí odkaz:
http://arxiv.org/abs/2102.07711