Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning

Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning. Kazemitabar, S. J. & Beigy, H. In Yu, W., He, H., & Zhang, N., editors, Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I, volume 5551, of Lecture Notes in Computer Science, pages 794–803, 2009. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/isnn/KazemitabarB09,
  author    = {Seyed Jalal Kazemitabar and
               Hamid Beigy},
  editor    = {Wen Yu and
               Haibo He and
               Nian Zhang},
  title     = {Using Strongly Connected Components as a Basis for Autonomous Skill
               Acquisition in Reinforcement Learning},
  booktitle = {Advances in Neural Networks - {ISNN} 2009, 6th International Symposium
               on Neural Networks, {ISNN} 2009, Wuhan, China, May 26-29, 2009, Proceedings,
               Part {I}},
  series    = {Lecture Notes in Computer Science},
  volume    = {5551},
  pages     = {794--803},
  publisher = {Springer},
  year      = {2009},
  url       = {https://doi.org/10.1007/978-3-642-01507-6\_89},
  doi       = {10.1007/978-3-642-01507-6\_89},
  timestamp = {Tue, 14 May 2019 10:00:36 +0200},
  biburl    = {https://dblp.org/rec/conf/isnn/KazemitabarB09.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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