J-KICS

Deep Reinforcement Learning Based Weapon-Target Assignment to Support Military Decision-Making

Jaehwi Lee Chanin Eom Kyeongsoo Kim Hyunsu Kang Minhae Kwon

Vol. 50, No. 6, pp. 884-895, Jun. 2025

10.7840/kics.2025.50.6.884

Weapon-target assignment

Deep Reinforcement Learning

Markov Decision Process (MDP)

Deep Deterministic Policy Gradient (DDPG)

Twin delayed DDPG (TD3)

Inference on Driving Characteristic Based on Time-Series Partial Observation of Vehicle

Sangeun Park Chanin Eom Minhae Kwon
Vol. 50, No. 6, pp. 858-874, Jun. 2025

10.7840/kics.2025.50.6.858

Autonomous driving system

Driving characteristic inference

Partial observation

Transformer

Long short-term memory

Multi-layer perceptron

Trajectory data

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

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 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

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Deep Reinforcement Learning Based Weapon-Target Assignment to Support Military Decision-Making

Inference on Driving Characteristic Based on Time-Series Partial Observation of Vehicle

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

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

Autonomous Driving Strategy for Bottleneck Traffic with Prioritized Experience Replay

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Deep Reinforcement Learning Based Weapon-Target Assignment to Support Military Decision-Making

Inference on Driving Characteristic Based on Time-Series Partial Observation of Vehicle

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

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

Autonomous Driving Strategy for Bottleneck Traffic with Prioritized Experience Replay

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