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Anne Jiao
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Decks in this class (9)
w1 what is an agent, utility, rationality also w2 normal form games
this is the introductino to ai. we learn about what makes an ai agent 'intelligent' and learn about what an agent seeks out, rationality, preferences, utilitiy and risk. we learn about the basic components that goes into artiifical intelligence trainning, week 2 is about games and introduction to nash equilibrium
19
cards
w3 2 player zero-sum games *study lecture instead*
w3 expanded on nash equilibrium and talked about a sub category of games caleld zero sum games where one players winning is equal to someone elses lost, also in this week they continuted w2 bc he ran out of time last time lmao so learnet how to calcualte mix nash equilibrium
most of the lecture is just an example please study that instead
6
cards
w4 gans
ooo
12
cards
w5 cooperative games/ coalitional games
learn about superadditive games, simple games, weighted majority games, shapely value
29
cards
w7 auctions
Why are auctions useful in ai dec...,
What is mechanism design,
What are the types of auctions
23
cards
w 8 computational advertising/ sponsered search auctions
How do google and advertisers str...,
What is pay per 1000 impressions ppm,
What is pay per click
19
cards
w9 extensive form games
What is the extensive form game a...,
What are the two variants of exte...,
What is an extensive form game ma...
14
cards
w 10 multi arm bandit theory
What is bandit mean in multi arme...,
What is the multi armed bandit th...,
What is the markov decision proce...
18
cards
w11 social choice theory
social choice theory
15
cards
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AI 2
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