Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Byunghyun Yoo"'
Publikováno v:
ETRI Journal, Vol 46, Iss 2, Pp 277-289 (2024)
In this paper, we describe a neural network-based application that recommends multiple items using dialog context input and simultaneously outputs a response sentence. Further, we describe a multi-item recommendation by specifying it as a set of clot
Externí odkaz:
https://doaj.org/article/bda3fefe633f4fb089f19359579efa03
Autor:
Byunghyun Yoo, Devarani Devi Ningombam, Sungwon Yi, Hyun Woo Kim, Euisok Chung, Ran Han, Hwa Jeon Song
Publikováno v:
IEEE Access, Vol 10, Pp 47741-47753 (2022)
Although recent years witnessed notable success for a cooperative setting in multi-agent reinforcement learning (MARL), efficient explorations are still challenging primarily due to the complex dynamics of inter-agent interactions constituting the hi
Externí odkaz:
https://doaj.org/article/2c52b19cd0694122b162961de7740579
Publikováno v:
IEEE Access, Vol 10, Pp 87254-87265 (2022)
In this paper, we propose a novel curiosity-based learning algorithm for Multi-agent Reinforcement Learning (MARL) to attain efficient and effective decision-making. We employ the centralized training with decentralized execution framework (CTDE) and
Externí odkaz:
https://doaj.org/article/ea341c98ba52493b8fe43c46f77bd8a6
Autor:
Jinwhan Kim, Byunghyun Yoo
Publikováno v:
Applied Ocean Research. 82:1-9
The energy efficiency of ocean-going vessels can be increased through various operational considerations, such as improved cargo arrangements and weather routing. The first step toward the goal of maximizing the energy efficiency is to analyze how th
Autor:
Byunghyun Yoo, Jinwhan Kim
Publikováno v:
IFAC-PapersOnLine. 50:2323-2328
The fuel efficiency of marine vessels can be increased through operational considerations such as improved cargo arrangements and weather routing. The first step toward this goal is to analyze how the ship’s powering performance changes under diffe
Autor:
Sungchur Kwon, Jungwook Han, Jeonghong Park, Taeyun Kim, Jisung Park, Sukmin Yoon, Byunghyun Yoo, Yeonjoo Shim, Minju Kang, Seonghun Hong, Jinwhan Kim, Jeonghyeon Wang
Publikováno v:
Journal of Field Robotics. 34:644-665
This paper addresses the development of an unmanned surface vehicle (USV) system by Team Angry-Nerds from KAIST for the inaugural Maritime RobotX Challenge competition, which was held on October 20-26, 2014, in Marina Bay, Singapore. The USV hardware
Autor:
Byunghyun Yoo, Jinwhan Kim
Publikováno v:
Journal of Marine Science and Technology. 21:334-343
This study proposes a path planning algorithm for marine vehicles based on machine learning. The algorithm considers the dynamic characteristics of the vehicle and disturbance effects in ocean environments. The movements of marine vehicles are influe
Autor:
Byunghyun Yoo, Jinwhan Kim
Publikováno v:
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).
As international regulations for commercial ships regarding environmental pollution and global warming are being reinforced, worldwide efforts are growing to reduce the fuel consumption of ships; this is directly related to the emissions of environme
Autor:
Seonghun Hong, Byunghyun Yoo, Taeyun Kim, Sukmin Yoon, Yeonjoo Shim, Jeonghyeon Wang, Jungwook Han, Jinwhan Kim, Jeonghong Park, Sungchur Kwon, Minju Kang
Publikováno v:
IFAC-PapersOnLine. 48:13-18
The inaugural Maritime RobotX Challenge competition was held in Marina Bay, Singapore between October 20-26 in 2014. The competition composed of five mission tasks in which intelligence is the single most important factor, and all the mission tasks w
Publikováno v:
OCEANS 2015 - MTS/IEEE Washington.
This study presents the development of vision-based techniques for autonomous collision avoidance by an unmanned surface ship using an onboard monocular camera. In order to determine the initiation of an evasive maneuver, the range and bearing measur