Speeding Up Autonomous Learning by Using State-Independent Option Policies and Termination Improvement

Letícia Maria Friske, Carlos H. C. Ribeiro. Speeding Up Autonomous Learning by Using State-Independent Option Policies and Termination Improvement. In Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, editors, 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil. pages 262-268, IEEE Computer Society, 2002. [doi]

@inproceedings{FriskeR02:0,
  title = {Speeding Up Autonomous Learning by Using State-Independent Option Policies and Termination Improvement},
  author = {Letícia Maria Friske and Carlos H. C. Ribeiro},
  year = {2002},
  url = {http://csdl.computer.org/comp/proceedings/sbrn/2002/1709/00/17090262abs.htm},
  tags = {termination, C++},
  researchr = {https://researchr.org/publication/FriskeR02%3A0},
  cites = {0},
  citedby = {0},
  pages = {262-268},
  booktitle = {7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil},
  editor = {Teresa Bernarda Ludermir and Marcílio Carlos Pereira de Souto},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-1709-9},
}