Algorithms to live by

  • Algorithms to live by 1. 37% for optimal stopping problem 2. Optimal stopping tells us when to look and when to leap
    1. Realizing that hunting, gathering information, and just looking around, has its cost
    2. Realize that we need to refine the rewards well
    3. The explore/exploit tradeoff tells us how to find the balances between trying new things and enjoying our favorites
    4. Sorting theory tells us how and whether to arrange our offices
    5. Caching theory tells us how to fill our closets
    6. Scheduling theory tells us how to fill our time
    7. Tackling real-world tasks requires being comfortable with chance, trading off time with accuracy, and using approximations.