Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège, Fall 2023.
- Instructor: Gilles Louppe
- Teaching assistants: Arnaud Delaunoy, François Rozet
- When: Fall 2023, Thursday 8:30 AM to 12:30 AM
- Classroom: B31/Laurent (4/89)
- Contact: info8006@montefiore.ulg.ac.be
- Discord: https://discord.gg/vrz6qcm8K
| Date | Topic |
|---|---|
| September 14 | Course syllabus [PDF] Lecture 0: Introduction to artificial intelligence [PDF] Lecture 1: Intelligent agents [PDF] |
| September 21 | Lecture 2: Solving problems by searching [PDF] |
| September 28 | Lecture 3: Games and adversarial search [PDF] Exercises 1: Solving problems by searching [PDF] [solutions] |
| October 5 | Lecture 4: Quantifying uncertainty [PDF] Exercises 2: Games and adversarial search [PDF] [solutions] |
| October 12 | Lecture 5: Probabilistic reasoning [PDF] Exercises 3: Reasoning under uncertainty [PDF] [solutions] |
| October 13 | Deadline of Project 1 |
| October 19 | Lecture 5: Probabilistic reasoning (continued) [PDF] Lecture 6: Reasoning over time [PDF] Exercises 3: Reasoning under uncertainty [PDF] [solutions] |
| October 26 | Lecture 6: Reasoning over time (continued) [PDF] Exercises 4: Reasoning over time [PDF] [solutions] |
| November 2 | No class |
| November 9 | Lecture 7: Machine learning and neural networks [PDF] Exercises 4b: Kalman [notebook] |
| November 10 | Deadline of Project 2 |
| November 16 | Lecture 7: Machine learning and neural networks (continued) [PDF] Exercises 5: Learning [PDF] [solutions] |
| November 23 | Lecture 8: Making decisions [PDF] |
| November 30 | Lecture 9: Reinforcement Learning [PDF] Exercises 6: Making decisions [PDF] [solutions] |
| December 7 | Exercises 7: Reinforcement learning [PDF] [solutions] Correction of a past exam Q&As |
| December 14 | No class |
| December 15 | Deadline of Project 3 |
| -- | All slides [PDF] |
- General instructions
- Python tutorial [video (Linux), video (Windows)]
- Part 1: Search algorithms (due by October 13)
- Part 2: Adversarial search (due by November 10)
- Part 3: Bayes filter (due by December 15)
- January 2019 (solutions)
- August 2019
- January 2020
- August 2020 (solutions)
- January 2021 (solutions)
- August 2021
- January 2022 (solutions)
- August 2022
- January 2023 (solutions)
- August 2023
Materials covered by the exam are listed here.
Due to progress in the field, some of the lectures have become less relevant. However, they are still available for those who are interested.
| Topic |
|---|
| Lecture: Constraint satisfaction problems [PDF] |
| Lecture: Inference in Bayesian networks [PDF] |
| Lecture: Communication [PDF] |
| Lecture: Artificial general intelligence and beyond [PDF] |
