Q-Learning Recap

The 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 value for each state-action pair (most of the time we initialize the Q-table to 0 values). But, as we’ll explore the environment and update our Q-table it will give us better and better approximations

q-learning.jpeg

This is the Q-Learning pseudocode:

Q-Learning