Quote:
Originally Posted by Deft
Create a standard test league and interface for commands from your OOTP program and the neural network with variables that can be modified (example- trading of major league players) and defined outcomes (ex. below budget, and wins). Then have the neural network conduct millions of sims of that year to optimize the outcomes. When done, evaluate the trade decisions for trends, (ex. trading timing, player type traded, # of trades) to see if their might be obvious loopholes the neural network is taking advantage of or whether the activity is as expected from a regular human user.
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I mean the first half of the first sentence is probably months of work just to setup... and then you're assuming a magic neural network can actually generate useful data that doesn't take many more months to analyze and that it actually tells you something that you don't already know.
After all that you're still at the hardest part... programming the AI to be better.