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Efficient iterative policy optimization

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 نشر من قبل Nicolas Le Roux
 تاريخ النشر 2016
  مجال البحث الهندسة المعلوماتية
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 تأليف Nicolas Le Roux




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We tackle the issue of finding a good policy when the number of policy updates is limited. This is done by approximating the expected policy reward as a sequence of concave lower bounds which can be efficiently maximized, drastically reducing the number of policy updates required to achieve good performance. We also extend existing methods to negative rewards, enabling the use of control variates.



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