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

A Reinforcement Learning Based Dynamic Duty-Cycle Mode Selection Method in Wireless Sensor Networks

Seong-Ho Youn Sue-Yeon Choi So-Myeong Kim Wan-Kyu Yun Seung-Hee Choi
Sang-Jo Yoo
Vol. 46, No. 12, pp. 2198-2211, Dec. 2021

10.7840/kics.2021.46.12.2198

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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

A Reinforcement Learning Based Dynamic Duty-Cycle Mode Selection Method in Wireless Sensor Networks

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