ReP USP - Resultado da busca

Trabalho de evento
Deep reinforcement learning control of autonomous terrestrial wheeled robots in a challenge task (2019)
Marão, Luiz Afonso Batalha; Garcia, Henrique Borges; Casteluci, Larissa Cassador; Magalhães, Daniel Varela ; Caurin, Glauco Augusto de Paula
Source: Proceedings. Conference titles: Brazilian Humanoid Robot Workshop - BRAHUR. Unidade: EESC
Subjects: ROBÔS, INTELIGÊNCIA ARTIFICIAL, ENGENHARIA AERONÁUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARÃO, Luiz Afonso Batalha et al. Deep reinforcement learning control of autonomous terrestrial wheeled robots in a challenge task. 2019, Anais.. São Bernardo do Campo, SP: FEI, 2019. Disponível em: https://repositorio.usp.br/directbitstream/3a152ae1-f99a-4754-a6db-950a7ca2e41d/trabalho%2001%20Deep%20Reinforcement%20Learning%20Control%20of%20Autonomous%20Terrestrial%20Wheeled%20Robots%20in%20a%20Challenge%20Task%20II%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20HUMANOIDES%20%28BRAHUR%29%20E%20III%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20DE%20SERVI%C3%87O%20%28BRAS.pdf. Acesso em: 27 set. 2024.
APA
Marão, L. A. B., Garcia, H. B., Casteluci, L. C., Magalhães, D. V., & Caurin, G. A. de P. (2019). Deep reinforcement learning control of autonomous terrestrial wheeled robots in a challenge task. In Proceedings. São Bernardo do Campo, SP: FEI. Recuperado de https://repositorio.usp.br/directbitstream/3a152ae1-f99a-4754-a6db-950a7ca2e41d/trabalho%2001%20Deep%20Reinforcement%20Learning%20Control%20of%20Autonomous%20Terrestrial%20Wheeled%20Robots%20in%20a%20Challenge%20Task%20II%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20HUMANOIDES%20%28BRAHUR%29%20E%20III%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20DE%20SERVI%C3%87O%20%28BRAS.pdf
NLM
Marão LAB, Garcia HB, Casteluci LC, Magalhães DV, Caurin GA de P. Deep reinforcement learning control of autonomous terrestrial wheeled robots in a challenge task [Internet]. Proceedings. 2019 ;[citado 2024 set. 27 ] Available from: https://repositorio.usp.br/directbitstream/3a152ae1-f99a-4754-a6db-950a7ca2e41d/trabalho%2001%20Deep%20Reinforcement%20Learning%20Control%20of%20Autonomous%20Terrestrial%20Wheeled%20Robots%20in%20a%20Challenge%20Task%20II%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20HUMANOIDES%20%28BRAHUR%29%20E%20III%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20DE%20SERVI%C3%87O%20%28BRAS.pdf
Vancouver
Marão LAB, Garcia HB, Casteluci LC, Magalhães DV, Caurin GA de P. Deep reinforcement learning control of autonomous terrestrial wheeled robots in a challenge task [Internet]. Proceedings. 2019 ;[citado 2024 set. 27 ] Available from: https://repositorio.usp.br/directbitstream/3a152ae1-f99a-4754-a6db-950a7ca2e41d/trabalho%2001%20Deep%20Reinforcement%20Learning%20Control%20of%20Autonomous%20Terrestrial%20Wheeled%20Robots%20in%20a%20Challenge%20Task%20II%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20HUMANOIDES%20%28BRAHUR%29%20E%20III%20WORKSHOP%20BRASILEIRO%20DE%20ROB%C3%94S%20DE%20SERVI%C3%87O%20%28BRAS.pdf
Trabalho de evento
Dynamic player modelling in serious games applied to rehabilitation robotics (2014)
Andrade, Kleber de O; Fernandes, Guilherme; Caurin, Glauco Augusto de Paula; Siqueira, Adriano Almeida Gonçalves; Romero, Roseli Aparecida Francelin ; Pereira, Rogério de L
Source: Proceedings. Conference titles: Joint Conference on Robotics and Intelligent Systems - JCRIS. Unidades: EESC, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ROBÓTICA, REABILITAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Kleber de O et al. Dynamic player modelling in serious games applied to rehabilitation robotics. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.41. Acesso em: 27 set. 2024.
APA
Andrade, K. de O., Fernandes, G., Caurin, G. A. de P., Siqueira, A. A. G., Romero, R. A. F., & Pereira, R. de L. (2014). Dynamic player modelling in serious games applied to rehabilitation robotics. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/SBR.LARS.Robocontrol.2014.41
NLM
Andrade K de O, Fernandes G, Caurin GA de P, Siqueira AAG, Romero RAF, Pereira R de L. Dynamic player modelling in serious games applied to rehabilitation robotics [Internet]. Proceedings. 2014 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.41
Vancouver
Andrade K de O, Fernandes G, Caurin GA de P, Siqueira AAG, Romero RAF, Pereira R de L. Dynamic player modelling in serious games applied to rehabilitation robotics [Internet]. Proceedings. 2014 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.41
Trabalho de evento
A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior (2010)
Cunha, Márcio José da; Caurin, Glauco Augusto de Paula
Conference titles: IEEE/IAS International Conference on Industry Applications - INDUSCON. Unidade: EESC
Subjects: AÇÚCAR (PRODUÇÃO), ÁLCOOL (PRODUÇÃO), CANA-DE-AÇÚCAR, RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUNHA, Márcio José da e CAURIN, Glauco Augusto de Paula. A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior. 2010, Anais.. Piscataway: IEEE, 2010. Disponível em: https://doi.org/10.1109/INDUSCON.2010.5739897. Acesso em: 27 set. 2024.
APA
Cunha, M. J. da, & Caurin, G. A. de P. (2010). A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior. In . Piscataway: IEEE. doi:10.1109/INDUSCON.2010.5739897
NLM
Cunha MJ da, Caurin GA de P. A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior [Internet]. 2010 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/INDUSCON.2010.5739897
Vancouver
Cunha MJ da, Caurin GA de P. A proposal to use KDD as a tool to discovery alcohol and sugar production plant behavior [Internet]. 2010 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/INDUSCON.2010.5739897

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects