ScholarWorks@Soongsil University: Kwon, Minhae

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Kwon, Minhae (권민혜)

College of Information Technology (Department of IT Convergence)

Research Area: 인공지능, 모바일 네트워크, 계산신경과학, Artificial Intelligence, Mobile Network, Computational Neuroscience

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Deep reinforcement learning:6||심층 강화학습:5||COVID19:4||deep reinforcement learning:4||Markov decision process:4||Training:4||Autonomous driving system:3||Offline Reinforcement Learning:3||Autonomous vehicles:2||personalization:2||Anomaly Detection:2||Autoencoder:2||wireless ad hoc networks:2||Reinforcement Learning:2||Reinforcement learning:2||Data models:2||Partially observable Markov decision process:2||network formation:2||network topology design:2||오프라인 강화학습:2||Anomaly detection:2||Deep reinforcement learningOffpolicy reinforcement learningPrecollected dataBehavioral cloningImitation learning:1||Diamonds:1||Dimensionality Reduction:1||Dimensionality reduction:1||Diseases:1||Distributed solution:1||Epidemic model:1||Epidemics:1||Finetuning:1||Game theory:1||Hardware:1||Heterogeneous networks:1||Heuristic algorithm:1||Imitation Learning:1||Intelligent Internet of Vehicle:1||Intelligent IoT connectivity:1||Intelligent command decision:1||Intelligent sensors:1||Interference alignment:1||Inverse Modeling:1||Joint processing:1||Latent state estimation:1||Mahalanobis distance:1||Markov chain:1||Markov processes:1||Maximum likelihood estimation:1||Military decisionmaking:1||Mixedautonomous traffic:1||Mobile AdHoc Network:1||Monte Carlo expectationmaximization:1||Mpox:1||Multiagent Reinforcement Learning:1||Multicell system:1||Multisource multicast flows:1||Multiuser MIMO:1||Navigation:1||Network Intrusion Detection System:1||Network coding:1||Network formation:1||Network intrusion detection:1||Offline reinforcement learning:1||Onramp merge:1||Parameter Inference:1||Predictive models: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||Roads:1||Robustness:1||SARSCoV2:1||SEIR model:1||Seasonal influenza:1||Selfsupervised learning:1||Sensor applications:1||Sensors:1||Servers:1||Simulation:1||Sociology:1||Sparse Reward Environment:1||Stability analysis:1||Standards:1||Statistics:1||Stochastic Reward:1||Stochastic approximate inference:1||Stochastic sampling:1||Stopandgo wave:1||Task analysis:1||Topology design:1||Traffic flow control:1||Training data:1||Trajectory:1||Transmission rate:1||Twin delayed DDPG (TD3):1||Twin delayed deep deterministic policy gradient:1||Unmanned Aerial Vehicle:1||Vaccines:1||Vehicle dynamics:1||Weapontarget assignment:1||ambient backscatter communication:1||artificial intelligence:1||autoencoder:1||cognition:1||cognitive radio:1||computation:1||data privacy:1||dataset diversity:1||deep Qnetwork:1||dynamic network:1||emergency network recovery:1||epidemiology:1||federated learning:1||federated learning (FL):1||flying adhoc network:1||flying adhoc networks:1||instantaneous reproduction number:1||intelligent sensors:1||latent infection:1||mixedautonomous traffic:1||mobile ad hoc networks:1||mobile network:1||mobile nodes:1||mobile relay networks:1||model poisoning attack:1||multiagent system:1||network coding:1||network intrusion detection system:1||neural coding:1||neuroscience:1||offline reinforcement learning:1||rational:1||reproduction number:1||selforganizing networks:1||selfsupervised learning:1||severe acute respiratory syndrome coronavirus 2:1||transmission rate:1||군사적 의사결정:1||다중 개체 강화학습:1||램프 구간 병합:1||마르코프 결정 과정:1||모방학습:1||무기표적 할당:1||부분 관측 가능한 마르코프 의사결정:1||심층 Q네트워크:1||애드혹 네트워크:1||인공지능:1||인지 무선:1||자율주행 시스템:1||주변 후방산란 통신:1||지능형 지휘결심:1||커리큘럼 학습:1||판단:1||플라잉 애드혹 네트워크:1||Adhoc Network:1||휴리스틱 알고리즘:1||Adaptation models:1||Anomaly Classifier:1||Artificial Intelligence:1||Autonomous Driving:1||Autonomous aerial vehicles:1||Autonomous driving:1||Autonomous vehicle:1||Bottleneck traffic:1||Byzantine attack:1||Compartmental model:1||Compartmental models:1||Coordinated beamforming:1||Curriculum learning:1||Curriculum reinforcement learning:1||Decision making:1||Decisionmaking:1||Decoding:1||Deep Deterministic Policy Gradient (DDPG):1||Deep Reinforcement Learning:1||Deep reinforcement learning algorithm:1||

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