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Question about Prediction with Approximation?

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I'm finding sections 9.2 - 9.5 very challenging to grasp, even after watching the videos and reading most of the chapter. Can we spend a bit more time on it this week?
 
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Adam V, Adam IV, Not Adam and 3 more

Why is Reward = +1 / step?
 
Because the value function here means: How many steps to the goal?
by Martha
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Why is there no mu(s) in the gradient term? Is that also absorbed in alpha?
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Are there methods to learn a good state space representation, and what states should be combined? Maybe offline using data collected in the past?
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