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lectures/mix_model.md
@@ -53,7 +53,7 @@ random sequence $\{W_t\}_{t=0}^\infty$.
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We studied how the agent would then use the laws of conditional probability and an observed history $w^t =\{w_s\}_{s=0}^t$ to form
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$$
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-\pi_t = E [ \textrm{nature chose distribution} f | w^t] , \quad t = 0, 1, 2, \ldots
+\pi_t = E [ \textrm{nature chose distribution } f | w^t] , \quad t = 0, 1, 2, \ldots
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However, in the setting of this lecture, that rule imputes to the agent an incorrect model.
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