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Papers mentioned in today's class




The paper on improving FF-HOP 

   http://www.public.asu.edu/~vidar/hindsight2.pdf

The paper on montecarlo labeled uncertainty graphs (for finding relaxed plans over multiple samples of a stochastic domain)
  http://rakaposhi.eas.asu.edu/ICAPS0602BryceD.pdf
  (and if you can't get enough of it, here is the longer journal version:  http://rakaposhi.eas.asu.edu/dan-aij.pdf )

Rao

ps: The "improved" idea for sampling-based bayes network inference I mentioned is "likelihood weighting" (which is a form of importance sampling). 
                    http://rakaposhi.eas.asu.edu/cse471/cse471-s09-week10.1.WAV


ps2: please keep the class comprehension comments coming... here is the link for today's class: 
              http://rakaposhi.eas.asu.edu/mediawiki/index.php?title=Notes_for_class_of_10/13&action="">