Zobrazeno 11 - 20
of 907
pro vyhledávání: '"Kim, Jeongho"'
Autor:
Rasouli, Hamid Reza, Kim, Jeongho, Mehmood, Naveed, Sheraz, Ali, Jo, Min-kyung, Song, Seungwoo, Kang, Kibum, Kasırga, T. Serkan
Two-dimensional (2D) materials are suitable hosts for the intercalation of extrinsic guest ions such as Li+, Na+ and K+ as the interlayer coupling is weak. This allows ion intercalation engineering of 2D materials, which may be a key to advancing tec
Externí odkaz:
http://arxiv.org/abs/2102.09414
Autor:
Kim, Jeongho, Kim, Tae Gyu, Park, Byungdo, Kim, Hyunjung, Song, Yun Gyu, Lee, Hyoun Wook, Kim, Young Zoon, Ji, Jun Ho, Kim, Seok-Hyun, Kim, Sung Min, Lee, Jun Ho, Kim, Haeyoung
Publikováno v:
In Medical Dosimetry Summer 2024 49(2):69-76
Publikováno v:
Math. Mod. Meth. Appl. Sci. 31(6) (2021), 1163-1235
In this paper, we present the hydrodynamic limit of a multiscale system describing the dynamics of two populations of agents with alignment interactions and the effect of an internal variable. It consists of a kinetic equation coupled with an Euler-t
Externí odkaz:
http://arxiv.org/abs/2101.04585
In this paper, we propose Q-learning algorithms for continuous-time deterministic optimal control problems with Lipschitz continuous controls. Our method is based on a new class of Hamilton-Jacobi-Bellman (HJB) equations derived from applying the dyn
Externí odkaz:
http://arxiv.org/abs/2010.14087
Autor:
Kim, Jeongho, Yang, Insoon
Maximum entropy reinforcement learning (RL) methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of existing techniques are designed for discrete-time systems. As a first step to
Externí odkaz:
http://arxiv.org/abs/2009.13097
Publikováno v:
IEEE Access, 8, pp.21437-21452 (2020)
In this paper, we discuss a large-scale fleet management problem in a multi-objective setting. We aim to seek a receding horizon taxi dispatch solution that serves as many ride requests as possible while minimizing the cost of relocating vehicles. To
Externí odkaz:
http://arxiv.org/abs/2005.02738
Autor:
Kim, Jeongho, Yang, Insoon
In this paper, we introduce Hamilton-Jacobi-Bellman (HJB) equations for Q-functions in continuous time optimal control problems with Lipschitz continuous controls. The standard Q-function used in reinforcement learning is shown to be the unique visco
Externí odkaz:
http://arxiv.org/abs/1912.10697
Autor:
Kang, Moon-Jin, Kim, Jeongho
In this paper, we study the propagation of the mono-kinetic distribution in the Cucker-Smale-type kinetic equations. More precisely, if the initial distribution is a Dirac mass for the variables other than the spatial variable, then we prove that thi
Externí odkaz:
http://arxiv.org/abs/1909.07525
Publikováno v:
In Journal of Computational Physics 1 September 2023 488
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 September 2023 443