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[D] Two questions about deep q learning

[D] Two questions about deep q learning

https://i.redd.it/9eifb59zaoe31.png

I have two questions(In bold)

I want to use two neural networks to calculate the Q value for my current state(A board game). I use a sigmoid function. I correct the action with the highest value max Q that I obtain in the target network(The rest target is set to original output of the DQN). Is this the correct approach or should I correct all output values in one iteration? Second question: How do I calculate my target value r+ b mac Q(s(prime….). Should I use fixed reward values? **Do I have to use reward values so that I can not surpass the possible output range of sigmoid function?(**Like 0,4 or 0,2) Thank you

submitted by /u/Kralex68
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.