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A path planning strategy for marine vehicles based on deep ..:
, In:
2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE)
,
Sang, Qiming
;
Tian, Yu
;
Jin, Qianlong
. - p. 466-471 , 2021
Link:
https://doi.org/10.1109/CACRE52464.2021.9501367
RT T1 <cTitle>2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE)</cTitle>: T1 <Title>A path planning strategy for marine vehicles based on deep reinforcement learning and data-driven dynamic flow fields prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9501367&Exemplar=1&LAN=DE A1 Sang, Qiming A1 Tian, Yu A1 Jin, Qianlong A1 Yu, Jiancheng YR 2021 K1 Heuristic algorithms K1 Oceans K1 Reinforcement learning K1 Robot sensing systems K1 Prediction algorithms K1 Path planning K1 Sensors K1 marine vehicle K1 path planning K1 deep reinforcement learning K1 dynamic mode decomposition K1 sensing optimization SP 466 OP 471 LK http://dx.doi.org/https://doi.org/10.1109/CACRE52464.2021.9501367 DO https://doi.org/10.1109/CACRE52464.2021.9501367 SF ELIB - SuUB Bremen
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