UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network

Author:

Hu Xinyu,Gao Jingpeng,Jiang Zhiye

Publisher

Springer International Publishing

Reference9 articles.

1. Liu, C., Li, H., Tang, Y., et al.: Next generation integrated smart manufacturing based on big data analytics, reinforced learning, and optimal routes planning methods. Int. J. Comput. Integr. Manuf. 32(9), 820–831 (2019)

2. Yu, T.: Sarsa(λ)-based logistics planning approximated by value function with policy iteration. J. Algorithms Comput. Technol. 9(4), 449–466 (2015)

3. Ee, S., Pauline, O., Kah, C.: Solving the optimal track planning of a mobile robot using improved Q-learning. Robot. Auton. Syst. 115(115), 143–161 (2019)

4. Fanyu, Z., Chen, W., Shuzhi, S.: A survey on visual navigation for artificial agents with deep reinforcement learning. IEEE Access 8(11), 135426–135442 (2020)

5. Qiang, F., Yongchao, W.: Event prediction technology based on graph neural network. J. Phys. 1852(4), 42037–42044 (2021)

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