By Matt Gershoff


In this post we are going to introduce an optimization approach from artificial intelligence: Reinforcement Learning (RL).

Hopefully we will convince you that it is both a powerful conceptual framework to organize how to think about digital optimization, as well as a set of useful computational tools to help us solve online optimization problems.



  • Video Games as Digital Optimization
  • AB Testing as Building Block to AI
  • Attribution = Dynamics
  • Reinforcement learning
  • Coordinated Bandits through TD-Learning
  • Q-Learning


Read the rest here: Going from AB Testing to AI: Optimization as Reinforcement Learning




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