From: torakkahissi@hotmail.com   
      
       I try to find help here with an exercise from the book Artificial   
   Intelligence:Modern Approach(2nd edition). I try prepare exercise 21.1 for   
   my students. The book seems to be good but there are a couple of a simple   
   confusions between different sources:   
      
       In passive reinforcement learning:   
      
    Are the moves of these agents a) fully random b) towards best utility   
   stochasticly (i.e. prob. of 80%), or c) towards best utility   
   deterministically?   
   I.e. What does this fixed policy practically means??   
      
   Either I am stupid or the book should tell this essential assumption more   
   clearly.   
      
   Thank you very much for clear answers!   
      
   :P   
      
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