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Search: "[ author: 한연희 ]" (19)
Analysis and Case Studies of Nvidia Isaac Gym for Deep Reinforcement Learning-Based Quadruped Robot Control
Yohan Choi, Changhun Ji, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 9, No. 2, pp. 8-20,
Dec.
2024
10.11111/JATR.2024.9.2.008
Keywords: Quadruped Robots, Deep Reinforcement Learning, NVIDIA Isaac Gym, Parallel Simulation, Sim-to-Real Transfer, Robot control

Keywords: Quadruped Robots, Deep Reinforcement Learning, NVIDIA Isaac Gym, Parallel Simulation, Sim-to-Real Transfer, Robot control
End-to-End Key Generation Method in Quantum Key Distribution Networks for Minimizing Session Blocks Using Deep Reinforcement Learning
Yeongjun Seok, Ju-Bong Kim, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 9, No. 1, pp. 13-16,
Jun.
2024
10.11111/JATR.2024.9.1.013
Keywords: Quantum Key Distribution, Deep Reinforcement Learning, End-to-End Key Generation, Session Block Minimization, GAT, LSTM

Keywords: Quantum Key Distribution, Deep Reinforcement Learning, End-to-End Key Generation, Session Block Minimization, GAT, LSTM
Deep Reinforcement Learning-based 2-level Tax Policy Optimization Simulation Environment Analysis and Experiment
Joo-Seong Heo, Yo-Han Choi, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 8, No. 2, pp. 9-13,
Dec.
2023
10.11111/JATR.2023.8.2.009
Keywords: Tax Policy Optimization, Economic Simulation Analaysis, Reinforcement

Keywords: Tax Policy Optimization, Economic Simulation Analaysis, Reinforcement
Deep Reinforcement Learning-Based Control of EGO-Swarm Parameters
ChangHun Ji, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 8, No. 1, pp. 15-19,
Jun.
2023
10.11111/JATR.2023.8.1.015
Keywords: Drone Autonomous Flight, EGO-Swarm, Hierarchical Deep Reinforcement Learning

Keywords: Drone Autonomous Flight, EGO-Swarm, Hierarchical Deep Reinforcement Learning
Study on Deep Reinforcement Learning for Partial Task Offloading in Edge Cloud Network
Yeongjun Seok, Hyun-kyo Lim, Ihsan Ullah, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 7, No. 2, pp. 13-16,
Dec.
2022
10.11111/JATR.2022.7.2.013
Keywords: IoT, 5G network, Partial Task Off-Loading, Resource Consumption, Delay time, Edge Cloud Computing Systems, Hierarchical Deep Reinforcement Learning, Task Allocation Optimization

Keywords: IoT, 5G network, Partial Task Off-Loading, Resource Consumption, Delay time, Edge Cloud Computing Systems, Hierarchical Deep Reinforcement Learning, Task Allocation Optimization
A Study on Task Offloading Scheme Using Deep Q-Network in Edge-Cloud Computing Environment
Hyun-Kyo Lim, Ihsan Ullah, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 7, No. 1, pp. 5-13,
Jun.
2022
10.11111/JATR.2022.7.1.005
Keywords: Deep Q-Network, Edge-Cloud computing, Resource Allocation, Markov Process, IoT, 5G network

Keywords: Deep Q-Network, Edge-Cloud computing, Resource Allocation, Markov Process, IoT, 5G network
Study on Reinforcement Learning Algorithm for Efficient Virtual Network Embedding
Hyun-Kyo Lim, Ju-Bong Kim, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 6, No. 2, pp. 10-15,
Dec.
2021
10.11111/JATR.2021.6.2.010
Keywords: Virtual Network Embedding, Hierarchical Reinforcement Learning, Multi-Agent-based Reinforcement Learning

Keywords: Virtual Network Embedding, Hierarchical Reinforcement Learning, Multi-Agent-based Reinforcement Learning
Study on Control Performance for Rotary Double Inverted Pendulum
Chanhun Ji, Hyun-Kyo Lim, Joo-Seong Heo, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 6, No. 1, pp. 7-10,
Jun.
2021
10.11111/JATR.2021.6.1.007
Keywords: Double Rotary Inverted Pendulum, Reinforcement Learning, DDPG, TD3

Keywords: Double Rotary Inverted Pendulum, Reinforcement Learning, DDPG, TD3
Research Trends in Reinforcement Learning Environments
Ho-Bin Choi, Hyun-Kyo Lim, Gyu-Young Hwang, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 5, No. 2, pp. 19-23,
Dec.
2020
10.11111/JATR.2020.5.2.019
Keywords: Reinforcement Learning, Reinforcement Learning Environment, Multi-agent

Keywords: Reinforcement Learning, Reinforcement Learning Environment, Multi-agent
Comparative Analysis Experiment of Value-Based Multi-Agent Reinforcement Learning Algorithms
Ju-Bong Kim, Chang-Hun Ji, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 5, No. 2, pp. 6-12,
Dec.
2020
10.11111/JATR.2020.5.2.006
Keywords: Multi-Agent Reinforcement Learning, Cooperative Multi-Agent Task, Value-Based Reinforcement Learning

Keywords: Multi-Agent Reinforcement Learning, Cooperative Multi-Agent Task, Value-Based Reinforcement Learning