Q-Learning Recap

Q-Learning is the RL algorithm that :

Q function Link value policy

But, in the beginning, our Q-table is useless since it gives arbitrary values for each state-action pair (most of the time we initialize the Q-table to 0 values). But, as we explore the environment and update our Q-table it will give us a better and better approximation.

q-learning.jpeg

This is the Q-Learning pseudocode:

Q-Learning < > Update on GitHub