J-KICS

Real-Time Hierarchical Deep Reinforcement Learning-Based Drone Trajectory Generation Algorithm Parameter Control

Chang-Hun Ji Youn-Hee Han Sung-Tae Moon
Vol. 48, No. 10, pp. 1238-1246, Oct. 2023

10.7840/kics.2023.48.10.1238

Drone Autonomous Flight

Drone Trajectory Generation Algorithm

Hierarchical Deep Reinforcement Learning

Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X

Yeong-je Jo Hyeon-joo Jeong Gyung-Ho Hwang
Vol. 48, No. 10, pp. 1235-1237, Oct. 2023

10.7840/kics.2023.48.10.1235

Autonomous vehicle

V2X

PPO

Deep Reinforcement Learning

Speed control

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

Curiosity-Driven TD-MPC with Model-Free Reinfocement Learning Policy

Chang-Hun Ji Ju-Bong Kim Youn-Hee Han
Vol. 48, No. 6, pp. 712-721, Jun. 2023

10.7840/kics.2023.48.6.712

Deep Reinforcement Learning

Model-based Reinforcement Learning

Model predictive control

Precise Control

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

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

CSMA/CA Protocol Based on Multi Agent Deep Reinforcement

Yeong-jeJo Gyung-HoHwang
Vol. 48, No. 3, pp. 359-361, Mar. 2023

10.7840/kics.2023.48.3.359

CSMA/CA protocol

MAC protocol

Multi agent

Deep Reinforcement Learning

MADDPG

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

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

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Real-Time Hierarchical Deep Reinforcement Learning-Based Drone Trajectory Generation Algorithm Parameter Control

Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X

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

Curiosity-Driven TD-MPC with Model-Free Reinfocement Learning Policy

Autonomous Driving Strategy for Bottleneck Traffic with Prioritized Experience Replay

Reinforcement Learning-Based Scheduler with Dynamic Precedence in Deterministic Networks

CSMA/CA Protocol Based on Multi Agent Deep Reinforcement

Priority Based Adaptive Slotted ALOHA Method Using Q-Learning

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

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