The best way to learn and to avoid the illusion of competenceis to test yourself. This will help you to find where you need to reinforce your knowledge.
Q1: What is Q-Learning?
Q2: What is a Q-table?
Q3: Why if we have an optimal Q-function Q* we have an optimal policy?
Solution
Because if we have an optimal Q-function, we have an optimal policy since we know for each state what is the best action to take.
Q4: Can you explain what is Epsilon-Greedy Strategy?
Solution
Epsilon Greedy Strategy is a policy that handles the exploration/exploitation trade-off.
The idea is that we define epsilon ɛ = 1.0:
With probability 1 — ɛ : we do exploitation (aka our agent selects the action with the highest state-action pair value).
With probability ɛ : we do exploration (trying random action).
Q5: How do we update the Q value of a state, action pair?
Solution
Q6: What's the difference between on-policy and off-policy
Solution
Congrats on finishing this Quiz 🥳, if you missed some elements, take time to read again the chapter to reinforce (😏) your knowledge.