Learning Humanoid Robot Running Skills through Proximal Policy Optimization

Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo. Learning Humanoid Robot Running Skills through Proximal Policy Optimization. In Latin American Robotics Symposium, Brazilian Symposium on Robotics, and Workshop on Robotics in Education (WRE), LARS/SBR/WRE 2019, Rio Grande, Brazil, October 23-25, 2019. pages 37-42, IEEE, 2019. [doi]

@inproceedings{MeloM19-2,
  title = {Learning Humanoid Robot Running Skills through Proximal Policy Optimization},
  author = {Luckeciano Carvalho Melo and Marcos Ricardo Omena Albuquerque Máximo},
  year = {2019},
  doi = {10.1109/LARS-SBR-WRE48964.2019.00015},
  url = {https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00015},
  researchr = {https://researchr.org/publication/MeloM19-2},
  cites = {0},
  citedby = {0},
  pages = {37-42},
  booktitle = {Latin American Robotics Symposium, Brazilian Symposium on Robotics, and Workshop on Robotics in Education (WRE), LARS/SBR/WRE 2019, Rio Grande, Brazil, October 23-25, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-4268-5},
}