diff --git a/units/en/unit2/introduction.mdx b/units/en/unit2/introduction.mdx index 42e1e44..a963fa9 100644 --- a/units/en/unit2/introduction.mdx +++ b/units/en/unit2/introduction.mdx @@ -15,7 +15,12 @@ We'll also **implement our first RL agent from scratch**: a Q-Learning agent an Environments -We'll learn about the value-based methods and the difference between Monte Carlo and Temporal Difference Learning. And then, **we'll study and code our first RL algorithm**: Q-Learning, and implement our first RL Agent. +Concretely, we'll: + +* learn about value-based methods +* learn about the differences between Monte Carlo and Temporal Difference Learning +* study and implement our first RL algorithm: Q-Learning +* implement our first RL agent This unit is **fundamental if you want to be able to work on Deep Q-Learning**: the first Deep RL algorithm that was able to play Atari games and beat the human level on some of them (breakout, space invaders…).