Publications Freek Stulp


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Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning
Freek Stulp and Olivier Sigaud. Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning. In Journées Francophones Planification, Décision, et Apprentissage pour la conduite de systèmes, 2013.
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BibTeX
@InProceedings{stulp13policy,
  title                    = {Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning},
  author                   = {Freek Stulp and Olivier Sigaud},
  booktitle                = {Journ\'ees Francophones Planification, D\'ecision, et Apprentissage pour la conduite de syst\`emes},
  year                     = {2013},
  bib2html_pubtype         = {Refereed Conference Paper},
  bib2html_rescat          = {Reinforcement Learning of Robot Skills}
}

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