Lectures for INFO8006 - Introduction to Artificial Intelligence, ULiège, Fall 2021.
- Instructor: Gilles Louppe
- Teaching assistants: Arnaud Delaunoy, François Rozet, Gaspard Lambrechts
- Contact: [email protected]
- When: Fall 2021, Thursday 8:30 AM to 12:30 AM.
- Classroom: B7b A142
| Date | Topic |
|---|---|
| September 16 | Course syllabus [PDF] [video] Lecture 0: Introduction to artificial intelligence [PDF] [video] Lecture 1: Intelligent agents [PDF] [video] |
| September 23 | Lecture 2: Solving problems by searching [PDF] [video] Lecture 2b: Constraint satisfaction problems [PDF] (optional) Tutorial: Introduction to Python [video (Linux), video (Windows)] |
| September 30 | Lecture 3: Games and adversarial search [PDF] [video] Exercises 1: Solving problems by searching [PDF] [solutions] |
| October 7 | Lecture 4: Representing uncertain knowledge [PDF] [video] Tutorial: Search algorithms (project 0, done in class) Project 1: Adversarial search (due by October 28, 2021) |
| October 14 (10:30 AM) | Exercises 2: Games and adversarial search [PDF] |
| October 21 | Lecture 4: Representing uncertain knowledge [PDF] [video] (continued) Lecture 5: Inference in Bayesian networks [PDF] [video] Exercises 3: Reasoning under uncertainty |
| October 28 | Lecture 6: Reasoning over time [PDF] [video] Exercises 4: Reasoning over time Project 1: Deadline Project 2: Bayes filter (due by November 25, 2021) |
| November 18 | Lecture 7: Learning [PDF] [video] Exercises 5: Reasoning under uncertainty and over time (additional) |
| November 25 | Lecture 8: Making decisions [PDF] [video] Exercises 6: Learning Project 2: Deadline |
| December 2 | Lecture 9: Reinforcement Learning [PDF] [video] Exercises 7: Making decisions |
| December 9 | Lecture 10: Communication [PDF] [video] (optional) Lecture 11: Artificial general intelligence and beyond [PDF] [video] Exercises 8: Reinforcement Learning |
| December 16 | Correction of a past exam |
- General instructions
- Python tutorial [video (Linux), video (Windows)]
- Part 0: Search algorithms (done in class)
- Part 1: Adversarial search (due by October 28, 2021)
- Part 2: Bayes filter (due by November 25, 2021)
TBD.
Short questions will be asked as part of the written exam. You do not have to produce any summary report.