SpotifyReinforcementlearningOptimizationproblem 1“Is thatboundtight?”RegretboundAV/ZoomissuesQuadrantdiagramA committeemember islate to the AexamInverseReinforcementlearningNetflixGraphdown andto therightRewardmodelGraph upand tothe rightOptimizationproblem 2Yahoodataset“Dataefficiency”“The answerto thatquestion ison the nextslide”MangaindexDirectmethodPlot comparingperformance oftheir algorithm toanotheralgorithmThere is a slidewhere youunderstandabsolutelynothingAggressivequestionIntimidatingequationMVALBandits withcostlyrewardobservationsInversepropensityscoring/weightingSomeone isat least 5-10minutes lateSpotifyReinforcementlearningOptimizationproblem 1“Is thatboundtight?”RegretboundAV/ZoomissuesQuadrantdiagramA committeemember islate to the AexamInverseReinforcementlearningNetflixGraphdown andto therightRewardmodelGraph upand tothe rightOptimizationproblem 2Yahoodataset“Dataefficiency”“The answerto thatquestion ison the nextslide”MangaindexDirectmethodPlot comparingperformance oftheir algorithm toanotheralgorithmThere is a slidewhere youunderstandabsolutelynothingAggressivequestionIntimidatingequationMVALBandits withcostlyrewardobservationsInversepropensityscoring/weightingSomeone isat least 5-10minutes late

Aaron's A exam - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Spotify
  2. Reinforcement learning
  3. Optimization problem 1
  4. “Is that bound tight?”
  5. Regret bound
  6. AV/Zoom issues
  7. Quadrant diagram
  8. A committee member is late to the A exam
  9. Inverse Reinforcement learning
  10. Netflix
  11. Graph down and to the right
  12. Reward model
  13. Graph up and to the right
  14. Optimization problem 2
  15. Yahoo dataset
  16. “Data efficiency”
  17. “The answer to that question is on the next slide”
  18. Manga index
  19. Direct method
  20. Plot comparing performance of their algorithm to another algorithm
  21. There is a slide where you understand absolutely nothing
  22. Aggressive question
  23. Intimidating equation
  24. MVAL
  25. Bandits with costly reward observations
  26. Inverse propensity scoring/weighting
  27. Someone is at least 5-10 minutes late