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A random choice is needed to allow people to give rewards to options other than the dominant. I'm sure this doesn't have to be random -- and I'd be curious to see the logic behind the 10% choice -- but you have to have something that gives the other options a chance.

Makes me wonder if the 10% number couldn't be changed to something that's a function of the number of rewards total; the longer it runs, the less variation there is and the more confident you are in the choice made.



That would be Epsilon-decreasing strategy or VDBE:

http://en.wikipedia.org/wiki/Multi-armed_bandit#Semi-uniform...


Like many things in machine learning, this is a simplified version of Metropolis-Hastings.




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