Refactoring lab

questions.md

@@ -26,3 +26,40 @@
    read the policy? For a given state, does the highest Q-value point toward the food?
 
 8. How does the trained agent's behavior compare to the reasoning you wrote down in question 1?
+
+## Checkpoint 4
+
+9. **Full board (runs/snake-v1, ep_5000):** Describe the agent's behavior. Does it seem to know
+   where the apple is? Does it move randomly or with some purpose?
+
+10. **Features only (runs/snake-v2, ep_3000):** How does this agent differ from the v1 agent?
+    What is it doing better? What is it doing that leads to shorter episodes?
+
+11. **Final run, early (runs/snake, ep_1300):** This agent uses the egocentric view plus
+    apple_dx/apple_dy. What has it learned that neither v1 nor v2 showed?
+
+12. **Final run, mature (runs/snake, ep_20000):** What does this agent do well? Where does it
+    still make mistakes?
+
+13. In the features-only run (v2), reward rose as episodes got shorter. Why does a snake agent
+    that is getting better at finding apples end up with shorter episodes?
+
+14. The egocentric view crops the observation to a 17×17 window centered on the snake's head.
+    What did the agent gain from this change, and what information did it lose access to?
+
+## Checkpoint 5
+
+Answer these questions after completing both training experiments in "Training Frogger."
+
+15. **Hypothesis (Attempt 1):** Before training, predict what will happen. Will the agent learn to
+    reach the top of the board? What challenge do you think it will face?
+
+16. **Evidence (Attempt 1):** Copy the first three and last three lines of `runs/frogger/training.log`.
+    Did training go as expected?
+
+17. **Analysis (Attempt 1):** What did the agent learn to do? Where did it struggle?
+
+18. **Experiment (Attempt 2):** What one thing did you change? Write your prediction, show the
+    evidence (first and last few log lines), and describe what happened.
+
+19. Which attempt produced the best agent? What would you try next if you had more time?