ScholarWorks@Soongsil University: Kwon, Minhae

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Kwon, Minhae (권민혜)

College of Information Technology (Department of IT Convergence)

Research Area: 전자전기공학, 인공지능 및 모바일 네트워크, Electronic and Electrical Engineering, Artificial Intelligence and Mobile Networks

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Markov decision process:4||deep reinforcement learning:3||COVID19:3||Deep reinforcement learning:3||심층 강화학습:3||network topology design:2||Anomaly detection:2||wireless ad hoc networks:2||Offline Reinforcement Learning:2||Autonomous driving system:2||network formation:2||Deep Deterministic Policy Gradient (DDPG):1||Deep Reinforcement Learning:1||Deep reinforcement learning algorithm:1||Dimensionality Reduction:1||Dimensionality reduction:1||Diseases:1||Distributed solution:1||Epidemic model:1||Epidemics:1||Game theory:1||Heterogeneous networks:1||Imitation Learning:1||Intelligent IoT connectivity:1||Interference alignment:1||Joint processing:1||Latent state estimation:1||Mahalanobis distance:1||Markov chain:1||Markov processes:1||Mixedautonomous traffic:1||Mobile AdHoc Network:1||Multicell system:1||Multisource multicast flows:1||Multiuser MIMO:1||Network Intrusion Detection System:1||Network coding:1||Network formation:1||Network intrusion detection:1||Partially observable Markov decision process:1||Principal component analysis (PCA):1||Prioritized experience replay:1||Proximal Policy Optimization (PPO):1||Qlearning:1||RF energy harvesting:1||RF 에너지 수집:1||Random Mobility Model:1||Reinforcement Learning:1||SEIR model:1||Selfsupervised learning:1||Simulation:1||Sociology:1||Sparse Reward Environment:1||Stability analysis:1||Standards:1||Statistics:1||Stopandgo wave:1||Topology design:1||Traffic flow control:1||Training:1||Training data:1||Twin delayed DDPG (TD3):1||Twin delayed deep deterministic policy gradient:1||Unmanned Aerial Vehicle:1||Vaccines:1||ambient backscatter communication:1||autoencoder:1||cognition:1||cognitive radio:1||computation:1||data privacy:1||deep Qnetwork:1||dynamic network:1||epidemiology:1||federated learning:1||flying adhoc network:1||instantaneous reproduction number:1||latent infection:1||mobile ad hoc networks:1||mobile network:1||mobile nodes:1||mobile relay networks:1||model poisoning attack:1||network coding:1||network intrusion detection system:1||neural coding:1||neuroscience:1||personalization:1||rational:1||reproduction number:1||selforganizing networks:1||selfsupervised learning:1||severe acute respiratory syndrome coronavirus 2:1||transmission rate:1||마르코프 결정 과정:1||모방학습:1||심층 Q네트워크:1||오프라인 강화학습:1||인지 무선:1||주변 후방산란 통신:1||커리큘럼 학습:1||Anomaly Detection:1||플라잉 애드혹 네트워크:1||Autoencoder:1||Autonomous vehicle:1||Autonomous vehicles:1||Bottleneck traffic:1||Compartmental model:1||Compartmental models:1||Coordinated beamforming:1||Curriculum learning:1||Curriculum reinforcement learning:1||Decoding:1||

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