Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège, Fall 2024.
- Instructor: Gilles Louppe
- Teaching assistants: Gérôme Andry, Arnaud Delaunoy
- When: Fall 2024, Thursday 8:30 AM to 12:30 AM
- Classroom: B31/Laurent (4/89)
- Contact: [email protected]
- Discord: https://discord.gg/Y8UP2SBu2h
| Date | Topic |
|---|---|
| September 19 | Course syllabus [PDF] Lecture 0: Introduction to artificial intelligence [PDF] Lecture 1: Intelligent agents [PDF] |
| September 26 | Lecture 2: Solving problems by searching [PDF] Tutorial: Project 0 |
| October 3 | Lecture 3: Games and adversarial search [PDF] Exercises 1: Solving problems by searching [PDF] |
| October 10 | Lecture 4: Quantifying uncertainty [PDF] Exercises 2: Games and adversarial search |
| October 17 | Lecture 5: Probabilistic reasoning [PDF] Exercises 3: Quantifying uncertainty |
| October 24 | Lecture 6: Reasoning over time [PDF] No exercises |
| October 31 | No class |
| November 3 | Deadline for Project 1 |
| November 7 | Lecture 7: Machine learning and neural networks [PDF] Exercises 4: Probabilistic reasoning |
| November 14 | Lecture 7: Machine learning and neural networks (continued) [PDF] Exercises 5: Reasoning over time |
| November 21 | Lecture 8: Making decisions [PDF] Exercises 6: Reasoning over time (continued) [notebook] |
| November 28 | Lecture 9: Reinforcement Learning [PDF] Exercises 7: Machine learning |
| December 5 | No lecture Exercises 8: Making decisions Exercises 9: Reinforcement learning |
| December 8 | Deadline for Project 2 |
| December 12 | No class |
| December 19 | No class |
- General instructions
- Python tutorial [video (Linux), video (Windows)]
- Part 0: Search algorithms (tutorial session in class)
- Part 1: Adversarial search (due by November 3)
- Part 2: Bayes filter (due by December 8)
- 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
- January 2024
- August 2024
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] |