“The answerto thatquestion ison the nextslide”“Dataefficiency”Someoneis at least5 minuteslateBalancedestimatorMVALInversepropensityscoring/weightingQuadrantdiagramRewardmodelIntimidatingequationThere is a slidewhere youunderstandabsolutelynothingTargetpolicyKillianmakesa jokeAV/ZoomissuesOptimizationproblem 2AggressivequestionGraphdown andto therightDirectmethodYahoodatasetBandits withcostlyrewardobservationsInverseReinforcementlearningPlot comparingperformance oftheir algorithm toanotheralgorithmReinforcementlearningGraph upand tothe rightOptimizationproblem 1SongsA committeemember islate to the AexamRegretbound“The answerto thatquestion ison the nextslide”“Dataefficiency”Someoneis at least5 minuteslateBalancedestimatorMVALInversepropensityscoring/weightingQuadrantdiagramRewardmodelIntimidatingequationThere is a slidewhere youunderstandabsolutelynothingTargetpolicyKillianmakesa jokeAV/ZoomissuesOptimizationproblem 2AggressivequestionGraphdown andto therightDirectmethodYahoodatasetBandits withcostlyrewardobservationsInverseReinforcementlearningPlot comparingperformance oftheir algorithm toanotheralgorithmReinforcementlearningGraph upand tothe rightOptimizationproblem 1SongsA committeemember islate to the AexamRegretbound

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