1. Course admin (pdf)

2. Introduction (part 1) (pdf)

3. Introduction, cont. (part 2) (pdf)

4. Agents (pdf)

5. Search --- Uninformed (pdf)

6. Search --- Informed (pdf)

7. Search --- Local (pdf)

8. Adversarial Search (Part I) (pdf)

9. Adversarial Search (Part II) (pdf)

10. Reinforcement learning (Part I, intro) (pdf)

11. Reinforcement learning (Part II)

12. Reinforcement learning (Part III)

13. Knowledge Representation and Reasoning (Part I) (pdf)

14. Knowledge Representation and Reasoning (Part II) (pdf)

15. Intro Learning (pdf)

16. Decision Tree Learning (pdf)

17. Neural Networks (pdf)

Homeworks

• Hwk. #1 --- Davis and Marcus on Commonsense pdf

• Hwk. #2

• Hwk. #3 ( latex of question 1.)

• Hwk. #4