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.
Includes:
- 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
