Zobrazeno 1 - 10
of 1 267
pro vyhledávání: '"Kara Ali"'
Publikováno v:
Studies in Business and Economics, Vol 19, Iss 2, Pp 120-137 (2024)
Although testing the Bowersox and Daugherty (B&D) (1987) typology in international markets have provided valuable insights into the model’s relevance in logistics, literature has not re-examined the B&D model’s effectiveness during the post-pande
Externí odkaz:
https://doaj.org/article/1673b22e4a064d82b09624f6acdff800
Publikováno v:
Studies in Business and Economics, Vol 17, Iss 2, Pp 90-107 (2022)
The purpose of this paper is to investigate how social media marketing engagement efforts mediate the relationships between CRM and the business performance. We argue that social media marketing engagement efforts used by the companies will enhance t
Externí odkaz:
https://doaj.org/article/5cfb05f4580d4964a60c8f1d0da4ab2a
We study an approximation method for partially observed Markov decision processes (POMDPs) with continuous spaces. Belief MDP reduction, which has been the standard approach to study POMDPs requires rigorous approximation methods for practical applic
Externí odkaz:
http://arxiv.org/abs/2410.02895
Finding optimal policies for Partially Observable Markov Decision Processes (POMDPs) is challenging due to their uncountable state spaces when transformed into fully observable Markov Decision Processes (MDPs) using belief states. Traditional methods
Externí odkaz:
http://arxiv.org/abs/2409.04351
Autor:
Bayraktar, Erhan, Kara, Ali D.
The paper focuses on mean-field type multi-agent control problems where the dynamics and cost structures are symmetric and homogeneous, and are affected by the distribution of the agents. A standard solution method for these problems is to consider t
Externí odkaz:
http://arxiv.org/abs/2408.00991
The average cost optimality is known to be a challenging problem for partially observable stochastic control, with few results available beyond the finite state, action, and measurement setup, for which somewhat restrictive conditions are available.
Externí odkaz:
http://arxiv.org/abs/2312.14111
Autor:
Acer Niyazi, Dolu Nazan, Zararsiz Gokmen, Dogan Mehmet Sait, Gumus Kazim, Ozmen Sevgi, Kara Ali Yucel, Soysal Handan, Per Huseyin, Bilgen Mehmet
Publikováno v:
The EuroBiotech Journal, Vol 1, Iss 1, Pp 46-56 (2017)
Purpose: To examine brain diffusion characteristics in pediatric patients with attention deficit hyperactivity disorder (ADHD) using diffusion tensor imaging (DTI) and an atlas-based anatomical analysis of the whole brain and to investigate whether t
Externí odkaz:
https://doaj.org/article/1f0c0870dfcb4a12bb2180ca14a6688f
Autor:
Kara, Ali Devran, Yuksel, Serdar
As a primary contribution, we present a convergence theorem for stochastic iterations, and in particular, Q-learning iterates, under a general, possibly non-Markovian, stochastic environment. Our conditions for convergence involve an ergodicity and a
Externí odkaz:
http://arxiv.org/abs/2311.00123
Autor:
Bayraktar, Erhan, Kara, Ali D.
We study mean-field control problems in discrete-time under the infinite horizon average cost optimality criteria. We focus on both the finite population and the infinite population setups. We show the existence of a solution to the average cost opti
Externí odkaz:
http://arxiv.org/abs/2309.11744
Autor:
Kara, Ali Devran, Yuksel, Serdar
For infinite-horizon average-cost criterion problems, there exist relatively few rigorous approximation and reinforcement learning results. In this paper, for such problems, we present several approximation and reinforcement learning results for Mark
Externí odkaz:
http://arxiv.org/abs/2308.07591