The log_lik matrix
i skipped this part, it is something about showing the comparisons of two models
6 Matching Annotations
- Dec 2022
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Local file Local file
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- Nov 2022
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Local file Local file
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There isno back-door path through Q, as you can see. But there is a non-causal path from Q to Wthrough U: Q → E ← U → W.
We don't know what the right side is of a Basketball game, it could be the underdog, it could be the favorite, it could be any team - anything can happend
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- Sep 2022
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incompleteideas.net incompleteideas.net
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aphically represents the Bellman optimality equation (3.19) and the backup diagramon the right graphically represents (3.20)
I got lost here
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the agent selects all four actions with equal probability in all states
Is this a policy? so if we changed the probability with which actions are chosen we alter the policy?
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they satisfy recursive relationships simila
How can i see that these functions are recursive?
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= Xa⇡(a|s) Xs 0 ,rp(s 0 , r |s, a)hr + v ⇡ (s 0 )i, for all s 2 S,
I have an issue understanding this formula, and how it easily can be read as an expected value. Why do we merge the two sums, one over all the values of s' and the other over all the values of r. What are we trying to accomplish here?
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