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Search: "[ keyword: Reinforcement Learning ]" (11)
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 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
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
Robust Multi-Step Bootstrapping
Gyu-Young Hwang, Ju-Bong Kim, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 5, No. 1, pp. 6-11,
Jun.
2020
10.11111/JATR.2020.5.1.006
Keywords: Reinforcement Learning, Monte Carlo method, TD learning, one-step TD method, n-step TD method, Ω-return, Q-learning

Keywords: Reinforcement Learning, Monte Carlo method, TD learning, one-step TD method, n-step TD method, Ω-return, Q-learning
Reinforcement Learning-based Curriculum Learning Design and Experiment of Grid Sortation System in Smart Factory
Ho-Bin Choi, Gyu-Young Hwang, Hyun-Kyo Lim, Ju-Bong Kim, Youn-Hee HanJournal of Advanced Technology Research,
Vol. 4, No. 2, pp. 6-15,
Dec.
2019
10.11111/JATR.2019.4.2.006
Keywords: Reinforcement Learning, Curriculum Learning, Smart Factory, Grid Sortation System

Keywords: Reinforcement Learning, Curriculum Learning, Smart Factory, Grid Sortation System