This is used as a test or filter. Once the AI has passed that test, you turn its risk aversion to normal.
I see. But that assumes your AI implementation supports such a tuneable parameter and you can be confident about testing with one parameter value and then predicting a run with a very different valuee.
Yes. It is a check for certain designs, not a universal panacea (rule of thumb: universal panacea go in main ;-)
This is used as a test or filter. Once the AI has passed that test, you turn its risk aversion to normal.
I see. But that assumes your AI implementation supports such a tuneable parameter and you can be confident about testing with one parameter value and then predicting a run with a very different valuee.
Yes. It is a check for certain designs, not a universal panacea (rule of thumb: universal panacea go in main ;-)