Generalization in Reinforcement Learning: Safely Approximating the Value Function

Generalization in Reinforcement Learning: Safely Approximating the Value Function. Boyan, J. A. & Moore, A. W. In Tesauro, G., Touretzky, D. S., & Leen, T. K., editors, Advances in Neural Information Processing Systems 7, pages 369–376. MIT Press.

Paper bibtex

@incollection{boyanGeneralizationReinforcementLearning1995,
  title = {Generalization in {{Reinforcement Learning}}: {{Safely Approximating}} the {{Value Function}}},
  url = {http://papers.nips.cc/paper/1018-generalization-in-reinforcement-learning-safely-approximating-the-value-function.pdf},
  shorttitle = {Generalization in {{Reinforcement Learning}}},
  booktitle = {Advances in {{Neural Information Processing Systems}} 7},
  publisher = {{MIT Press}},
  urldate = {2019-01-21},
  date = {1995},
  pages = {369--376},
  author = {Boyan, Justin A. and Moore, Andrew W.},
  editor = {Tesauro, G. and Touretzky, D. S. and Leen, T. K.},
  file = {/home/dimitri/Nextcloud/Zotero/storage/DX2RVAK7/Boyan and Moore - 1995 - Generalization in Reinforcement Learning Safely A.pdf;/home/dimitri/Nextcloud/Zotero/storage/96D26GVQ/1018-generalization-in-reinforcement-learning-safely-approximating-the-value-function.html}
}

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