Towards autonomous and optimal excavation of shield machine: a deep reinforcement learning-based approach
Author:
Publisher
Zhejiang University Press
Subject
General Engineering
Link
https://link.springer.com/content/pdf/10.1631/jzus.A2100325.pdf
Reference54 articles.
1. Antsaklis PJ, Rahnama A, 2018. Control and machine intelligence for system autonomy. Journal of Intelligent & Robotic Systems, 91(1):23–34. https://doi.org/10.1007/s10846-018-0832-6
2. Antsaklis PJ, Passino KM, Wang SJ, 1991. An introduction to autonomous control systems. IEEE Control Systems Magazine, 11(4):5–13. https://doi.org/10.1109/37.88585
3. Ates U, Bilgin N, Copur H, 2014. Estimating torque, thrust and other design parameters of different type TBMs with some criticism to TBMs used in Turkish tunneling projects. Tunnelling and Underground Space Technology, 40:46–63. https://doi.org/10.1016/j.tust.2013.09.004
4. Busoniu L, Babuska R, de Schutter B, et al., 2017. Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC Press, Boca Raton, USA, p.1–13. https://doi.org/10.1201/9781439821091
5. Carreras M, Yuh J, Batlle J, et al., 2005. A behavior-based scheme using reinforcement learning for autonomous underwater vehicles. IEEE Journal of Oceanic Engineering, 30(2):416–427. https://doi.org/10.1109/JOE.2004.835805
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