Gao, Z., Mu, Y., Chen, C., Duan, J., Li, S. E., Luo, P., & Lu, Y. (2022). Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.
Chicago-Zitierstil (17. Ausg.)Gao, Zeyu, Yao Mu, Chen Chen, Jingliang Duan, Shengbo Eben Li, Ping Luo, und Yanfeng Lu. Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. 2022.
MLA-Zitierstil (9. Ausg.)Gao, Zeyu, et al. Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. 2022.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.