J-KICS

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

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

Reinforcement Learning-Based Dynamic Routing for Robust Optimization of Low Earth Orbit (LEO) Satellite Communication Networks

Gyu Seon Kim Soohyun Park Joongheon Kim Yeonggoo Kim Jaekyoung Ha
Byung Hyun Jun
Vol. 48, No. 9, pp. 1123-1134, Sep. 2023

10.7840/kics.2023.48.9.1123

Deep Reinforcement Learning

Low Earth Orbit (LEO)

routing

Spectrum Allocation Based on Deep Reinforcement Learning in mmWave Integrated Access and Backhaul Network

Jeonghun Park Heetae Jin Sumin Jeong Suk Chan Kim
Vol. 48, No. 9, pp. 1057-1063, Sep. 2023

10.7840/kics.2023.48.9.1057

mmWave

Integrated Access and Backhaul

Reinforcement Learning

Double Deep Q-network

spectrum allocation

Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution

Hyebin Cho Junseung Lee Hyungsub Kim Jeehyeon Na Howon Lee

Vol. 48, No. 8, pp. 926-933, Aug. 2023

10.7840/kics.2023.48.8.926

Transmit power control

nonuniform traffic distribution

multi-agent RL

Deep Reinforcement Learning-Based Tax and Economic Agents Policy Optimization Simulation Environment Analysis and Experiment

Joo-Seong Heo Yo-Han Choi Yeong-Jun Seok Yeonhee Lee Taewan You
Youn-Hee Han
Vol. 48, No. 6, pp. 755-763, Jun. 2023

10.7840/kics.2023.48.6.755

Tax Policy Optimization

Economic Simulation Analaysis

Reinforcement

Deep Reinforcement Learning-Based Content Caching for Private 5G Network

JoonyoungLim DongjuKim YounghwanYoo
Vol. 48, No. 3, pp. 327-337, Mar. 2023

10.7840/kics.2023.48.3.327

Local 5G

Private 5G

Deep Reinforcement Learning

Network cache

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

Survey on Deep Reinforcement Learning Applied for LEO Satellites

Hyunsoo Lee Joongheon Kim
Vol. 48, No. 2, pp. 196-205, Feb. 2023

10.7840/kics.2023.48.2.196

LEO Satellite

Deep Reinforcement Learning

Edge Computing

Optimization

SAGIN

Multi-Agent Deep Reinforcement Learning for Efficient Unattended Information Gathering and Monitoring of Autonomous UAM Systems

Chanyoung Park Gyu Seon Kim Kyeongjin Lee Ilsoo Yun
Vol. 48, No. 2, pp. 176-184, Feb. 2023

10.7840/kics.2023.48.2.176

Deep Reinforcement Learning

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

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

Reinforcement Learning-Based Dynamic Routing for Robust Optimization of Low Earth Orbit (LEO) Satellite Communication Networks

Spectrum Allocation Based on Deep Reinforcement Learning in mmWave Integrated Access and Backhaul Network

Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution

Deep Reinforcement Learning-Based Tax and Economic Agents Policy Optimization Simulation Environment Analysis and Experiment

Deep Reinforcement Learning-Based Content Caching for Private 5G Network

Digital Role-Model Twin Using Reinforcement Learning Model

Survey on Deep Reinforcement Learning Applied for LEO Satellites

Multi-Agent Deep Reinforcement Learning for Efficient Unattended Information Gathering and Monitoring of Autonomous UAM Systems

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