Deep Q-Network Based Rotary Inverted Pendulum System and Its Monitoring on the EdgeX Platform. - Ju-Bong Kim; Do-Hyung Kwon; Yong-Geun Hong; Hyun-Kyo Lim; Min Suk Kim; Youn-Hee Han (ICAIIC, 2019)

Packet-based Network Traffic Classification Using Deep Learning. - Hyun-Kyo Lim; Ju-Bong Kim; Joo-Seong Heo; Kwihoon Kim; Yong-Geun Hong; Youn-Hee Han (ICAIIC, 2019)

Imitation Reinforcement Learning-Based Remote Rotary Inverted Pendulum Control in OpenFlow Network. - Ju-Bong Kim; Hyun-Kyo Lim; Chan-Myung Kim; Min-Suk Kim; Yong-Geun Hong; Youn-Hee Han (IEEE Access, 2019)

Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network. - Do-Hyung Kwon; Ju-Bong Kim; Ju-Sung Heo; Chan-Myung Kim; Youn-Hee Han (J. Inf. Process. Syst., 2019)

Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments. - Hyun-Kyo Lim; Ju-Bong Kim; Chan-Myung Kim; Gyu-Young Hwang; Ho-bin Choi; Youn-Hee Han (ICAIIC, 2020)

Federated Reinforcement Learning for Automatic Control in SDN-based IoT Environments. - Hyun-Kyo Lim; Ju-Bong Kim; Sang-Youn Kim; Youn-Hee Han (ICTC, 2020)

Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System. - Ju-Bong Kim; Ho-bin Choi; Gyu-Young Hwang; Kwihoon Kim; Yong-Geun Hong; Youn-Hee Han (Sensors, 2020)

Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices. - Hyun-Kyo Lim; Ju-Bong Kim; Joo-Seong Heo; Youn-Hee Han (Sensors, 2020)

Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices. - Hyun-Kyo Lim; Ju-Bong Kim; Ihsan Ullah 004; Joo-Seong Heo; Youn-Hee Han (IEEE Access, 2021)

MARL-based Optimal Route Control in Multi-AGV Warehouses. - Ho-bin Choi; Ju-Bong Kim; Chang-Hoon Ji; Ullah Ihsan 001; Youn-Hee Han; Se-Won Oh; Kwihoon Kim; Cheol-Sig Pyo (ICAIIC, 2022)

MARL-Based Cooperative Multi-AGV Control in Warehouse Systems. - Ho-bin Choi; Ju-Bong Kim; Youn-Hee Han; Se-Won Oh; Kwihoon Kim (IEEE Access, 2022)

Compound Context-Aware Bayesian Inference Scheme for Smart IoT Environment. - Ihsan Ullah 004; Ju-Bong Kim; Youn-Hee Han (Sensors, 2022)

Dual Policy-Based TD-Learning for Model Predictive Control. - Chang-Hun Ji; Ho-bin Choi; Joo-Seong Heo; Ju-Bong Kim; Hyun-Kyo Lim; Youn-Hee Han (ICAIIC, 2023)

Virtual Network Embedding Based on Hierarchical Cooperative Multiagent Reinforcement Learning. - Hyun-Kyo Lim; Ihsan Ullah 004; Ju-Bong Kim; Youn-Hee Han (IEEE Internet Things J., 2024)

Strangeness-driven exploration in multi-agent reinforcement learning. - Ju-Bong Kim; Ho-bin Choi; Youn-Hee Han (Neural Networks, 2024)

Deep Reinforcement Learning-Driven Optimization of End-to-End Key Provision in QKD Systems. - Yeong-Jun Seok; Ju-Bong Kim; Youn-Hee Han; Hyun-Kyo Lim; Chankyun Lee; Wonhyuk Lee (J. Netw. Syst. Manag., 2025)