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Supervised autonomy for online learning in human-robot interaction

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Keywords
Human-Robot interaction, Reinforcement learning, Interactive machine learning, Robotics, Progressive Autonomy, Supervised autonomy

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MLA
Senft, Emmanuel, et al. “Supervised Autonomy for Online Learning in Human-Robot Interaction.” PATTERN RECOGNITION LETTERS, vol. 99, Elsevier, 2017, pp. 77–86, doi:10.1016/j.patrec.2017.03.015.
APA
Senft, E., Baxter, P., Kennedy, J., Lemaignan, S., & Belpaeme, T. (2017). Supervised autonomy for online learning in human-robot interaction. PATTERN RECOGNITION LETTERS, 99, 77–86. https://doi.org/10.1016/j.patrec.2017.03.015
Chicago author-date
Senft, Emmanuel, Paul Baxter, James Kennedy, Séverin Lemaignan, and Tony Belpaeme. 2017. “Supervised Autonomy for Online Learning in Human-Robot Interaction.” PATTERN RECOGNITION LETTERS 99: 77–86. https://doi.org/10.1016/j.patrec.2017.03.015.
Chicago author-date (all authors)
Senft, Emmanuel, Paul Baxter, James Kennedy, Séverin Lemaignan, and Tony Belpaeme. 2017. “Supervised Autonomy for Online Learning in Human-Robot Interaction.” PATTERN RECOGNITION LETTERS 99: 77–86. doi:10.1016/j.patrec.2017.03.015.
Vancouver
1.
Senft E, Baxter P, Kennedy J, Lemaignan S, Belpaeme T. Supervised autonomy for online learning in human-robot interaction. PATTERN RECOGNITION LETTERS. 2017;99:77–86.
IEEE
[1]
E. Senft, P. Baxter, J. Kennedy, S. Lemaignan, and T. Belpaeme, “Supervised autonomy for online learning in human-robot interaction,” PATTERN RECOGNITION LETTERS, vol. 99, pp. 77–86, 2017.
@article{8523719,
  author       = {Senft, Emmanuel and Baxter, Paul and Kennedy, James and Lemaignan, Séverin and Belpaeme, Tony},
  issn         = {0167-8655},
  journal      = {PATTERN RECOGNITION LETTERS},
  keywords     = {Human-Robot interaction,Reinforcement learning,Interactive machine learning,Robotics,Progressive Autonomy,Supervised autonomy},
  language     = {eng},
  location     = {Teachers College, NY},
  pages        = {77--86},
  publisher    = {Elsevier},
  title        = {Supervised autonomy for online learning in human-robot interaction},
  url          = {http://dx.doi.org/10.1016/j.patrec.2017.03.015},
  volume       = {99},
  year         = {2017},
}

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