Source: Control Engineering Practice. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, CONTROLE (TEORIA DE SISTEMAS E CONTROLE), APRENDIZAGEM PROFUNDA, ALGORITMOS
ABNT
MORAIS, Gustavo A.P. de et al. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, v. 104, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.conengprac.2020.104630. Acesso em: 13 nov. 2024.APA
Morais, G. A. P. de, Marcos, L. B., Bueno, J. N. A. D., Resende, N. F. de, Terra, M. H., & Grassi Júnior, V. (2020). Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, 104. doi:10.1016/j.conengprac.2020.104630NLM
Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630Vancouver
Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630