J-KICS

Survey on Practical Reinforcement Learning : from Imitation Learning to Offline Reinforcement Learning

Dongsu Lee Chanin Eom Sungwoo Choi Sungkwan Kim Minhae Kwon

Vol. 48, No. 11, pp. 1405-1417, Nov. 2023

10.7840/kics.2023.48.11.1405

Deep Reinforcement Learning

Offline Reinforcement Learning

Imitation Learning

Robust Partial Share Federated Learning Algorithm against Model Poisoning Attack

Heewon Park Miru Kim Minhae Kwon
Vol. 48, No. 11, pp. 1387-1398, Nov. 2023

10.7840/kics.2023.48.11.1387

Federated learning

Personalization

model poisoning attack

data privacy

Autonomous Driving Strategy for Bottleneck Traffic with Prioritized Experience Replay

Chanin Eom Dongsu Lee Minhae Kwon
Vol. 48, No. 6, pp. 690-703, Jun. 2023

10.7840/kics.2023.48.6.690

Autonomous driving system

Bottleneck traffic

Deep Reinforcement Learning

Partially observable Markov decision process

Twin delayed deep deterministic policy gradient

prioritized experience replay

DTMC-Based Epidemic Model for Hidden Patients Estimation: Using COVID-19 Dataset of the Republic of Korea

Sujin Ahn Minhae Kwon
Vol. 47, No. 10, pp. 1586-1597, Oct. 2022

10.7840/kics.2022.47.10.1586

Latent state estimation

Network Anomaly Detection System Using Hidden Layer Information of Autoencoder

Miru Kim Hyoseon Kye Minhae Kwon
Vol. 47, No. 9, pp. 1310-1321, Sep. 2022

10.7840/kics.2022.47.9.1310

Network intrusion detection system

Anomaly Detection

Dimensionality Reduction

Autoencoder

Q-learning Based Ad-Hoc Network Formation Strategy for Wireless Nodes with Random Mobility Models

Nayoung Kim Minhae Kwon Hyunggon Park
Vol. 46, No. 11, pp. 1834-1845, Nov. 2021

10.7840/kics.2021.46.11.1834

Combating Stop-and-Go Wave Problem at a Ring Road Using Deep Reinforcement Learning Based Autonomous Vehicles

Dongsu Lee Minhae Kwon
Vol. 46, No. 10, pp. 1667-1682, Oct. 2021

10.7840/kics.2021.46.10.1667

PCA-Based Low-Complexity Anomaly Detection

Hyoseon Kye Minhae Kwon
Vol. 46, No. 6, pp. 941-955, Jun. 2021

10.7840/kics.2021.46.6.941

Deep Reinforcement Learning for Mode Optimization in RF-Powered Backscatter Cognitive Radio Networks

Shanai Wu Minhae Kwon Jin Young Kim Yoan Shin
Vol. 46, No. 2, pp. 246-256, Feb. 2021

10.7840/kics.2021.46.2.246

Compressed Sensing Based Low Power Data Transmission Systems in Mobile Sensor Networks

Jiyeon Hong Jungmin Kwon Minhae Kwon Hyunggon Park
Vol. 41, No. 11, pp. 1589-1597, Nov. 2016

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Survey on Practical Reinforcement Learning : from Imitation Learning to Offline Reinforcement Learning

Robust Partial Share Federated Learning Algorithm against Model Poisoning Attack

Autonomous Driving Strategy for Bottleneck Traffic with Prioritized Experience Replay

DTMC-Based Epidemic Model for Hidden Patients Estimation: Using COVID-19 Dataset of the Republic of Korea

Network Anomaly Detection System Using Hidden Layer Information of Autoencoder

Q-learning Based Ad-Hoc Network Formation Strategy for Wireless Nodes with Random Mobility Models

Combating Stop-and-Go Wave Problem at a Ring Road Using Deep Reinforcement Learning Based Autonomous Vehicles

PCA-Based Low-Complexity Anomaly Detection

Deep Reinforcement Learning for Mode Optimization in RF-Powered Backscatter Cognitive Radio Networks

Compressed Sensing Based Low Power Data Transmission Systems in Mobile Sensor Networks

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