Efficient A-Learning for Dynamic Treatment Regimes: A Handout

نویسندگان

  • Daniel Almirall
  • Lacey L. Gunter
  • Susan A. Murphy
چکیده

This handout describes an locally efficient version of an off-line advantage learning (ALearning) method for estimating dynamic treatment regimes using batch data based on (Murphy (2003); Robins (2004); Blatt et al. (2004)). The local efficient version is derived by Robins (Robins (2004)). These notes are meant to compliment the powerpoint slides found at http://www.stat.lsa.umich.edu/∼samurphy/seminars/. A-Learning can be seen as an alternative to Q-Learning (Watkins (1989); Watkins and Dayan (1992)). At this time, it is not known which method is superior for developing dynamic treatment regimes. For more details, including initial discussions concerning the relative merits of A-Learning versus Q-Learning, please refer to the slides and the above-cited papers.

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تاریخ انتشار 2005