Y. Zhao, Peichen Sun, Chang-Gyoon Lim. The Simulation of Adaptive Coverage Path Planning Policy for an Underwater Desilting Robot Using Deep Reinforcement Learning. In Jun Jo, Han-Lim Choi, Mardé Helbig, Hyondong Oh, Jemin Hwangbo, Chang Hun Lee, Bela Stantic, editors, Robot Intelligence Technology and Applications 7 - Results from the 10th International Conference on Robot Intelligence Technology and Applications, RiTA 2022, Daejeon, South Korea, 7-9 December, 2022. Volume 642 of Lecture Notes in Networks and Systems, pages 68-75, Springer, 2022. [doi]
@inproceedings{ZhaoSL22-0,
title = {The Simulation of Adaptive Coverage Path Planning Policy for an Underwater Desilting Robot Using Deep Reinforcement Learning},
author = {Y. Zhao and Peichen Sun and Chang-Gyoon Lim},
year = {2022},
doi = {10.1007/978-3-031-26889-2_7},
url = {https://doi.org/10.1007/978-3-031-26889-2_7},
researchr = {https://researchr.org/publication/ZhaoSL22-0},
cites = {0},
citedby = {0},
pages = {68-75},
booktitle = {Robot Intelligence Technology and Applications 7 - Results from the 10th International Conference on Robot Intelligence Technology and Applications, RiTA 2022, Daejeon, South Korea, 7-9 December, 2022},
editor = {Jun Jo and Han-Lim Choi and Mardé Helbig and Hyondong Oh and Jemin Hwangbo and Chang Hun Lee and Bela Stantic},
volume = {642},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-031-26889-2},
}