draft_bib.html

</dt-appendix>
</body>
<script type="text/bibliography">
  @article{graves2017automated,
    title={Automated curriculum learning for neural networks},
    author={Graves, Alex and Bellemare, Marc G and Menick, Jacob and Munos, Remi and Kavukcuoglu, Koray},
    journal={arXiv preprint},
    url={https://arxiv.org/pdf/1704.03003.pdf},
    year={2017}
  }

  @ARTICLE{2016arXiv161101796A,
    author = {Andreas, J. and Klein, D. and Levine, S.},
     title = {Modular Multitask Reinforcement Learning with Policy Sketches},
   journal = {ArXiv e-prints},
 archivePrefix = "arXiv",
    eprint = {1611.01796},
  primaryClass = "cs.LG",
  keywords = {Computer Science - Learning, Computer Science - Neural and Evolutionary Computing},
      year = 2016,
     month = nov,
    adsurl = {http://adsabs.harvard.edu/abs/2016arXiv161101796A},
   adsnote = {Provided by the SAO/NASA Astrophysics Data System}
 }

@article{DBLP:journals/corr/abs-1802-01561,
  author    = {Lasse Espeholt and
               Hubert Soyer and
               Remi Munos and
               Karen Simonyan and
               Volodymyr Mnih and
               Tom Ward and
               Yotam Doron and
               Vlad Firoiu and
               Tim Harley and
               Iain Dunning and
               Shane Legg and
               Koray Kavukcuoglu},
  title     = {IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures},
  journal   = {Proceedings of the International Conference on Machine Learning (ICML)},
  volume    = {abs/1802.01561},
  year      = {2018},
  url       = {http://arxiv.org/abs/1802.01561},
  archivePrefix = {arXiv},
  eprint    = {1802.01561},
  timestamp = {Thu, 01 Mar 2018 15:00:45 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1802-01561},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@online{ impala_github,
  author = "Espeholt, Lasse and Soyer, Hubert and Munos, Remi and Simonyan, Karen and Mnih, Volodymir and Ward, Tom and Doron, Yotam and Firoiu, Vlad and Harley, Tim and Dunning, Iain",
  publisher = "Github",
  title = "Github: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures",
  year = "2018",
  url = "https://github.com/deepmind/scalable_agent",
  note = "[Online; accessed 01-Jul-2018]"
}

@online{ jeju_project_github,
  author = "Feryal Behbahani",
  publisher = "Github",
  title = "Automated Curriculum Learning",
  year = "2018",
  url = "https://github.com/Feryal/jeju_project",
  note = "[Online; accessed 01-Jul-2018]"
}

@article{Auer:2003:NMB:589343.589365,
  author = {Auer, Peter and Cesa-Bianchi, Nicolo and Freund, Yoav and Schapire, Robert E.},
  title = {The Nonstochastic Multiarmed Bandit Problem},
  journal = {SIAM J. Comput.},
  issue_date = {2003},
  volume = {32},
  number = {1},
  month = jan,
  year = {2003},
  issn = {0097-5397},
  pages = {48--77},
  numpages = {30},
  url = {https://doi.org/10.1137/S0097539701398375},
  doi = {10.1137/S0097539701398375},
  acmid = {589365},
  publisher = {Society for Industrial and Applied Mathematics},
  address = {Philadelphia, PA, USA},
  keywords = {adversarial bandit problem, unknown matrix games},
 }

 @ARTICLE{2015arXiv150803326Z,
  author = {Zhou, L.},
   title = {A Survey on Contextual Multi-armed Bandits},
 journal = {ArXiv e-prints},
archivePrefix = "arXiv",
  eprint = {1508.03326},
primaryClass = "cs.LG",
keywords = {Computer Science - Learning},
    year = 2015,
   month = aug,
  adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150803326Z},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{s10_powerplay,
  AUTHOR={Schmidhuber, J.},
  TITLE={PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem},
  JOURNAL={Frontiers in Psychology},
  VOLUME={4},
  PAGES={313},
  YEAR={2013},
  URL={https://www.frontiersin.org/article/10.3389/fpsyg.2013.00313},
  DOI={10.3389/fpsyg.2013.00313},
  ISSN={1664-1078},
  }

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