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OPTIMAL OBSTACLE AVOIDANCE STRATEGY USING DEEP REINFORCEMENT LEARNING BASED ON STEREO CAMERA
CHI-HUNG NGUYEN , QUANG-ANH VU, KIM-KHOI PHUNG CONG, THAI-VIET DANG
A DEEP LEARNING APPROACH TO ELECTRIC LOAD FORECASTING OF MACHINE TOOLS
B. Dietrich, J. Walther, Y. Chen, M. Weigold
ACCURACY EVALUATION AND VALIDATION OF A DEEP LEARNING SURROGATE MODEL FOR RAYLEIGH STEP BEARING
RYOTA ISHII, NORIFUMI MIYANAGA, TOHRU KANADA
RESEARCH ON MODELING AND OBJECT TRACKING FOR ROBOT ARM BASED ON DEEP REINFORCEMENT LEARNING
ANH-DUNG NGUYEN, TIEN-DAT VU, QUANG-ANH VU, THAI-VIET DANG
RESEARCH ON CHATTER DETECTION FOR THIN-WALLED WORKPIECE MACHINING BASED ON META-REINFORCEMENT AND HYBRID DEEP CONVOLUTIONAL NEURAL NETWORK
Yongliang LU, Jun Zhao, Xujie Tang, Shihua Zhang

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