# Category: Probability

## Robbins-Munro

We review the proof by Robbins and Munro for finding fixed points. Stochastic gradient descent, Q-learning and a bunch of other stochastic algorithms can be seen as variants of this basic algorithm. We review the basic ingredients of the original proof.

## Normal Distribution and the Central Limit Theorem

## Continuous Probability Distributions

## Discrete Probability Distributions

## Random Variables

## Conditional Probabilities and Independence