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reinforcement learning using my own function
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Hello,
I have just started dabbling in machine learning. I would like to use reinforcement learning to do the following: I have a "core" function that takes 5 input numbers and returns 1 output number. I would like to use a reinforcement learning algorithm to input the 5 numbers into my function and try to maximize the 1 output number. Does my function qualify as "environment"? I am feeling a bit lost in this topic. Could someone point me in the right direction as to which toolbox to use and maybe the functions I should look at in the relevant toolbox?
Thanks a lot!
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Answers (1)
Emmanouil Tzorakoleftherakis
on 6 Feb 2020
It looks like your "core" function qualifies as the actual policy (or value function for that matter). The environment would be the thing that decides how these 5 inputs to the policy are generated. If you share more info on the application it may be easier to provide more suggestions.
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