This shows you the differences between two versions of the page.

— |
cs-470:review [2015/01/06 21:55] (current) ryancha created |
||
---|---|---|---|

Line 1: | Line 1: | ||

+ | General probability stuff is assumed, like , finding marginals, conditionals, etc. | ||

+ | == Bayesian Nets == | ||

+ | |||

+ | * Bayes law in general | ||

+ | * Computing the joint for a BN | ||

+ | * Using the joint to compute arbitrary probabilities and arbitrary conditional probabilities | ||

+ | * Kalman Model | ||

+ | ** Make sure you understand the inputs and outputs and what it does in general | ||

+ | ** You do NOT need to memorize the formula | ||

+ | |||

+ | == Utility == | ||

+ | |||

+ | * Axioms of Utility in general, but you do not have to memorize them | ||

+ | * Computing the Expected Utility | ||

+ | * Risk averseness in general and what does it means in a practical sense when working with Lotteries (including as in the homework) | ||

+ | * Be able to do EVSI, like in the Homework | ||

+ | |||

+ | == Complex Decision Making == | ||

+ | |||

+ | *Value Iteration | ||

+ | *Policy Iteration | ||

+ | *Modified Policy Iteration | ||

+ | *Q-learning will NOT be on the test |