Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments

Ângelo Gregório Lovatto, Thiago Pereira Bueno, Leliane Nunes de Barros. Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments. In André Britto, Karina Valdivia Delgado, editors, Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I. Volume 13073 of Lecture Notes in Computer Science, pages 33-47, Springer, 2021. [doi]

@inproceedings{LovattoBB21,
  title = {Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments},
  author = {Ângelo Gregório Lovatto and Thiago Pereira Bueno and Leliane Nunes de Barros},
  year = {2021},
  doi = {10.1007/978-3-030-91702-9_3},
  url = {https://doi.org/10.1007/978-3-030-91702-9_3},
  researchr = {https://researchr.org/publication/LovattoBB21},
  cites = {0},
  citedby = {0},
  pages = {33-47},
  booktitle = {Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I},
  editor = {André Britto and Karina Valdivia Delgado},
  volume = {13073},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91702-9},
}