# Reinforcement Learning Theory

The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes:

- Sample based analysis of RL including E3 and sparse sampling.
- Generalization based analysis of RL including conservative policy iteration and RL-to-Classification reductions.

For each of these forms of theory, we cover the basic results and cover the weaknesses and strengths of the approach in context.

*Author: John Langford, Yahoo Research, Yahoo!*