J-KICS

A Study on Reinforcement Learning Algorithm for Multi-Spectrum Channel Access

Jun-byung Chae Jong-in Park Kae-won Choi
Vol. 48, No. 12, pp. 1568-1576, Dec. 2023

10.7840/kics.2023.48.12.1568

Reinforcement Learning

802.11ax

Multi-Spectrum Channel Access

DDPG

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

A Generalization Performance Improvement Approach for Reinforcement Learning-Based Multidimensional Knapsack Problem Solving

Yohan Choi Yeong-Jun Seok Ju-Bong Kim Youn-Hee Han
Vol. 48, No. 11, pp. 1418-1428, Nov. 2023

10.7840/kics.2023.48.11.1418

Deep Learning

Reinforcement Learning

Combinatorial Optimization Problem

Knapsack Problem

Attention Mechanism

Trends in Autonomous Course of Action for Cyber Attacks Using Reinforcement Learning

Seok Bin Son Haemin Lee Soohyun Park Dong Hwa Kim Joongheon Kim

Vol. 47, No. 11, pp. 1776-1787, Nov. 2022

10.7840/kics.2022.47.11.1776

Cyber Attacks

Attack COA

Reinforcement Learning

Penetration Testing

Deep Reinforcement Learning-Based Vehicle-to-Vehicle Resource Allocation

Jihoon Moon Byonghyo Shim
Vol. 47, No. 10, pp. 1565-1567, Oct. 2022

10.7840/kics.2022.47.10.1565

Vehicular communications

Deep Reinforcement Learning

Resource Allocation

Scheduling

mmWave/ THz communications

Network Scheduler Based on Reinforcement Learning for Minimizing the Maximum End-to-End Latency

Juhyeok Kwon Jihye Ryu Jinoo Joung
Vol. 47, No. 9, pp. 1330-1340, Sep. 2022

10.7840/kics.2022.47.9.1330

min-max criterion

Reinforcement Learning

double deep Q-learning

prioritized experience replay

end-to-end latency

fairness

Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network

Jihye Ryu Juhyeok Kwon Jinoo Joung
Vol. 47, No. 7, pp. 944-952, Jul. 2022

10.7840/kics.2022.47.7.944

A Survey of Deep Reinforcement Learning-Based Edge Caching and Computing Techniques

Minseok Choi
Vol. 47, No. 1, pp. 28-38, Jan. 2022

10.7840/kics.2022.47.1.28

Q-Learning Based Quality Selection Algorithm for Dynamic Adaptive Streaming Over HTTP

Ji-Wung Park Seung Sik Choi
Vol. 47, No. 1, pp. 39-47, Jan. 2022

10.7840/kics.2022.47.1.39

Q-Learning Based Dynamic Task-Offloading Scheme to Improve QoE in Energy Harvesting IoT Edge Computing Environments

Minjae Kang Seungwoo Lee Yujin Gong Younghyun Kim Ikjune Yoon
Dong Kun Noh
Vol. 46, No. 12, pp. 2212-2220, Dec. 2021

10.7840/kics.2021.46.12.2212

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A Study on Reinforcement Learning Algorithm for Multi-Spectrum Channel Access

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

A Generalization Performance Improvement Approach for Reinforcement Learning-Based Multidimensional Knapsack Problem Solving

Trends in Autonomous Course of Action for Cyber Attacks Using Reinforcement Learning

Deep Reinforcement Learning-Based Vehicle-to-Vehicle Resource Allocation

Network Scheduler Based on Reinforcement Learning for Minimizing the Maximum End-to-End Latency

Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network

A Survey of Deep Reinforcement Learning-Based Edge Caching and Computing Techniques

Q-Learning Based Quality Selection Algorithm for Dynamic Adaptive Streaming Over HTTP

Q-Learning Based Dynamic Task-Offloading Scheme to Improve QoE in Energy Harvesting IoT Edge Computing Environments

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