J-KICS

Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning

WooSeok Kim Jeonghoon Lee Sangho Kim Taesun An WonMin Lee
Dowon Kim Kyungseop Shin
Vol. 50, No. 3, pp. 406-419, Mar. 2025

10.7840/kics.2025.50.3.406

non-orthogonal multiple access (NOMA)

deep reinforcement learning (DRL)

wireless network

Resource Allocation

A Survey on Weapon-Target Assignment for Realistic Battlefield Environments: From Exact Algorithm to Deep Reinforcement Learning

Chanin Eom Jaehwi Lee Minhae Kwon
Vol. 50, No. 2, pp. 205-216, Feb. 2025

10.7840/kics.2025.50.2.205

Military decision-making

Weapon-target assignment

Intelligent command decision

Deep Reinforcement Learning

Heuristic Algorithm

A Study on Highway Driving Decision Making with Hybrid Action for Autonomous Vehicles Using Deep Reinforcement Learning

Seongjun Kim Kyu-min Shin Jun-seo Jeon Ji-yoon Bang Junyoung Kim
Soyi Jung
Vol. 49, No. 12, pp. 1671-1684, Dec. 2024

10.7840/kics.2024.49.12.1671

Autonomous Driving

Deep Reinforcement Learning

RL-Based Load Balancing for Edge Server Based Vehicular Offloading System

Soo-jeong Bang Mee-jeong Lee
Vol. 49, No. 8, pp. 1096-1109, Aug. 2024

10.7840/kics.2024.49.8.1096

load balancing

Edge Computing

Deep Reinforcement Learning

clustering

vehicular network

Implementation of Digital Virtual Environment Model Considering Obstacles and Traffic Lights, and Research on Multi-Lane Autonomous Driving Based on Deep Reinforcement Learning

Jae-yeong Lee Sang-Jo Yoo
Vol. 49, No. 6, pp. 862-873, Jun. 2024

10.7840/kics.2024.49.6.862

Deep Reinforcement Learning

Autonomous Driving

digital virtual environment

ML-unity

DQN

PER

Reinforcement Learning-Based Counter Measure Tactics to Avoid Torpedo Threat

Jaehyun Chung Gyu Seon Kim Soohyun Park Joongheon Kim Wonhyuk Yun

Vol. 49, No. 3, pp. 333-345, Mar. 2024

10.7840/kics.2024.49.3.333

MDP

Deep Reinforcement Learning

Torpedo Counter Measure Strategies

Online Curriculum Reinforcement Learning Based UAV Training for Disaster Network Recovery

Dongsu Lee Jeyeon Eo Minhae Kwon
Vol. 49, No. 1, pp. 12-22, Jan. 2024

10.7840/kics.2024.49.1.12

Curriculum Learning

Deep Reinforcement Learning

flying ad-hoc network

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

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

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

Digital Library[ Search Result ]

Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning

A Survey on Weapon-Target Assignment for Realistic Battlefield Environments: From Exact Algorithm to Deep Reinforcement Learning

A Study on Highway Driving Decision Making with Hybrid Action for Autonomous Vehicles Using Deep Reinforcement Learning

RL-Based Load Balancing for Edge Server Based Vehicular Offloading System

Implementation of Digital Virtual Environment Model Considering Obstacles and Traffic Lights, and Research on Multi-Lane Autonomous Driving Based on Deep Reinforcement Learning

Reinforcement Learning-Based Counter Measure Tactics to Avoid Torpedo Threat

Online Curriculum Reinforcement Learning Based UAV Training for Disaster Network Recovery

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

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

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

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