Suchergebnisse - "Deep Q-Network algorithm"

Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging von Garrido-Oliver, Juan, Aviles, Jordina, Córdova, Marcos Mejía, Dux-Santoy, Lydia, Ruiz-Muñoz, Aroa, Teixido-Tura, Gisela, Maso Talou, Gonzalo D., Morales Ferez, Xabier, Jiménez, Guillermo, Evangelista, Arturo, Ferreira-González, Ignacio, Rodriguez-Palomares, Jose, Camara, Oscar, Guala, Andrea

“… The cohort was divided into training (323 patients) and testing (81) sets and used to train and test a 3D nnU-Net for segmentation and a Deep Q-Network algorithm for landmark detection. In-plane (IRF) and through-plane (SFRR …”
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Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays von Hu, Qiyu, Liu, Yanzhen, Cai, Yunlong, Yu, Guanding, Ding, Zhi

“… In this work, we investigate the joint design of beam selection and digital precoding matrices for mmWave MU-MIMO systems with DLA to maximize the sum-rate subject to the transmit power constraint …”
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Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory von Li, Wenli, Qiu, Fanke, Li, Lingxi, Zhang, Yinan, Wang, Kan

“… Simulation testing based on virtual scenarios can improve the efficiency of safety testing for high-level autonomous vehicles (AVs). In most traffic scenarios, …”
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An Independent Study of Reinforcement Learning and Autonomous Driving von Yang, Hanzhi

“… Secondly, we gained an understanding of and implemented the deep Q-network algorithm for Cart-Pole environment …”
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Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays von Hu, Qiyu, Liu, Yanzhen, Cai, Yunlong, Yu, Guanding, Ding, Zhi

“… In this work, we investigate the joint design of beam selection and digital precoding matrices for mmWave MU-MIMO systems with DLA to maximize the sum-rate subject to the transmit power constraint …”
Volltext