# Additional Readings [[additional-readings]]

These are **optional readings** if you want to go deeper.

## Monte Carlo and TD Learning [[mc-td]]

To dive deeper into Monte Carlo and Temporal Difference Learning:

- Why do temporal difference (TD) methods have lower variance than Monte Carlo methods?
-  When are Monte Carlo methods preferred over temporal difference ones?

## Q-Learning [[q-learning]]

- Reinforcement Learning: An Introduction, Richard Sutton and Andrew G. Barto Chapter 5, 6 and 7
- Foundations of Deep RL Series, L2 Deep Q-Learning by Pieter Abbeel

