Digital Library
Latest Publication | (Vol. 5, No.2, Dec. 2020)|
The Development of VR system-based User Motion Recognition for Fire Evacuation
SeongWon Jeong, Tae-Hoon Kim, Sang-Youn Kim,
Journal of Advanced Technology Research,
Vol. 5, No. 2, pp. 1-5,
Dec.
2020
10.11111/JATR.2019.5.2.001
Keywords: Virtual reality, motion recognition, Fire evacuation
10.11111/JATR.2019.5.2.001
Keywords: Virtual reality, motion recognition, Fire evacuation
Comparative Analysis Experiment of Value-Based Multi-Agent Reinforcement Learning Algorithms
Ju-Bong Kim, Chang-Hun Ji, Youn-Hee Han,
Journal of Advanced Technology Research,
Vol. 5, No. 2, pp. 6-12,
Dec.
2020
10.11111/JATR.2019.5.2.006
Keywords: Multi-Agent Reinforcement Learning, Cooperative Multi-Agent Task, Value-Based Reinforcement Learning
10.11111/JATR.2019.5.2.006
Keywords: Multi-Agent Reinforcement Learning, Cooperative Multi-Agent Task, Value-Based Reinforcement Learning
Conceptual Design of Silicone Rubber based Flexible Vibrotactile Feedback Actuator for Mobile Device
Yong Hae Heo, YeongJu Hong, Sang-Youn Kim,
Journal of Advanced Technology Research,
Vol. 5, No. 2, pp. 13-18,
Dec.
2020
10.11111/JATR.2019.5.2.013
Keywords: Flexible, Haptic Feedback, Vibrotactile, Dielectric Elastomer, Haptic Actuator
10.11111/JATR.2019.5.2.013
Keywords: Flexible, Haptic Feedback, Vibrotactile, Dielectric Elastomer, Haptic Actuator
Research Trends in Reinforcement Learning Environments
Ho-Bin Choi, Hyun-Kyo Lim, Gyu-Young Hwang, Youn-Hee Han,
Journal of Advanced Technology Research,
Vol. 5, No. 2, pp. 19-23,
Dec.
2020
10.11111/JATR.2019.5.2.019
Keywords: Reinforcement Learning, Reinforcement Learning Environment, Multi-agent
10.11111/JATR.2019.5.2.019
Keywords: Reinforcement Learning, Reinforcement Learning Environment, Multi-agent
