J-KICS

Directional Autonomous Torpedo Maneuver Control Using Reinforcement Learning

Emily Jimin Roh Hyunsoo Lee Soohyun Park Joongheon Kim Keonhyung Kim
Seunghwan Kim
Vol. 49, No. 5, pp. 752-761, May 2024

10.7840/kics.2024.49.5.752

MDP

Reinforcement Learning

Q-learning

Autonomous Torpedo

Directional Control

Reinforcement Learning-Based Scheduler with Dynamic Precedence in Deterministic Networks

JihyeRyu GyudongPark JuhyeokKwon JinooJoung
Vol. 48, No. 4, pp. 413-422, Apr. 2023

10.7840/kics.2023.48.4.413

Reinforcement Learning

Deep Learning

deterministic networking

Q-learning

Double Deep Q-network

precedence

Priority Based Adaptive Slotted ALOHA Method Using Q-Learning

JeenaKim ByungchanKim CheolwooYou HyunheePark
Vol. 48, No. 3, pp. 350-358, Mar. 2023

10.7840/kics.2023.48.3.350

Reinforcement Learning

Q-learning

Slotted Aloha

5G cellular network

Machine Type Communication

Digital Role-Model Twin Using Reinforcement Learning Model

Ji-Wan Kim Hong Je-Gal Seung-Jin Lee Hyun-Suk Lee
Vol. 48, No. 2, pp. 282-293, Feb. 2023

10.7840/kics.2023.48.2.282

Reinforcement Learning

Deep Q-learning

Recommendation System

Digital Twin

Role model

Tree Search Based End-to-End Soft Q-Learning in Reinforcement Learning

Seungyub Han Taehyun Cho Hyeonggeun Han Hefesoo Lee Hyungjin Kim
Jungwoo Lee
Vol. 48, No. 1, pp. 81-84, Jan. 2023

10.7840/kics.2023.48.1.81

Monte Carlo tree search

Boltzmann guided sparse sampling

soft Q-learning

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

Communication-Computing Convergence Technique for Connected Machines

Byungju Lee Jung-Hoon Noh
Vol. 47, No. 4, pp. 611-614, Apr. 2022

10.7840/kics.2022.47.4.611

Machine Learning Based Optimal Evacuation Route Guidance AR Navigation System in Indoor Fire Situations

Yong-Jun Cho Seong-Yong Park Seong-Ho Youn Seung-Hee Choi Sang-Jo Yoo

Vol. 47, No. 1, pp. 88-97, Jan. 2022

10.7840/kics.2022.47.1.88

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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Directional Autonomous Torpedo Maneuver Control Using Reinforcement Learning

Reinforcement Learning-Based Scheduler with Dynamic Precedence in Deterministic Networks

Priority Based Adaptive Slotted ALOHA Method Using Q-Learning

Digital Role-Model Twin Using Reinforcement Learning Model

Tree Search Based End-to-End Soft Q-Learning in Reinforcement Learning

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

Communication-Computing Convergence Technique for Connected Machines

Machine Learning Based Optimal Evacuation Route Guidance AR Navigation System in Indoor Fire Situations

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

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