C P Raphael: > "Reinforcement learning is a simple theory that *only* solves
problems
for which we can design value functions."
In other words... almost anything in real life...
What about if the values are EXTREMELY crude and fluctuating - like the
value to you of Mars ice cream vs Ben & Jerry's Phish food or whatever, and
the value of this sexual position vs that one?
That is, after all, one of the primary functions of emotions - to serve as
extremely crude and fluctuating evaluations of different actions -
comparisons that are so crude often as to be pre-mathematical. "How much do
you like that ice cream?" "Well, I like it 'a lot'." "And that one?" "Well,
a lot too. But maybe 'a bit more'."
Could reinforcement learning still embrace such crudities - or would you
need a totally different kind of programming?
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