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README.md

INFO8006 - Introduction to Artificial Intelligence

Lectures for INFO8006 - Introduction to Artificial Intelligence, ULiège, Fall 2020.

  • Instructor: Gilles Louppe
  • Teaching assistants: Antoine Wehenkel, Arnaud Delaunoy, Pascal Leroy
  • Contact: info8006@montefiore.ulg.ac.be
  • When: Fall 2020, Thursday 8:30 AM to 12:30 AM.
  • Classroom: Virtual. Follow us on Youtube!

Agenda

Date Topic
September 17 Course syllabus [PDF] [video]
Lecture 0: Introduction to artificial intelligence [PDF] [video]
Lecture 1: Intelligent agents [PDF] [video]
September 24 Lecture 2: Solving problems by searching [PDF] [video]
Lecture 2b: Constraint satisfaction problems [PDF] (optional)
Q&As (in-person, 11:30 AM, B28/2.93, registration required)
Project 1: Search algorithms
Tutorial: Introduction to Python [video (Linux), video (Windows)]
October 1 Lecture 3: Games and adversarial search [PDF] [video]
Exercises 1: Solving problems by searching [PDF] [Solutions] [video]
October 8 Lecture 4: Representing uncertain knowledge [PDF] [video]
Q&As (in-person, 11:30 AM, B28/2.93, registration required)
Exercises 2: Games and adversarial search [PDF] [Solutions] [video]
Project 2: Adversarial search
October 11 Project 1 deadline
October 15 Lecture 5: Inference in Bayesian networks [PDF] [video]
Exercises 3: Reasoning under uncertainty (part 1) [PDF] [Solutions] [video]
October 22 Lecture 6: Reasoning over time [PDF] [video]
Q&As (in-person, 11:30 AM, B28/2.93, registration required)
Exercises 4: Reasoning under uncertainty (part 2) [PDF] [Solutions] [video]
October 29 Exercises 5: Reasoning over time (part 1) [PDF] [Solutions] [video]
Project 3: Bayes filter
November 5 Lecture 7: Learning [PDF] [video]
November 8 Project 2 deadline
November 12 Lecture 8: Making decisions [PDF] [video]
Exercises 6: Reasoning over time (part 2) [PDF] [Solutions] [video]
November 19 Lecture 9: Reinforcement Learning [PDF] [video]
Exercises 7: Learning [PDF] [Solutions] [Notebook] [video]
November 26 Lecture 10: Communication [PDF] [video]
Exercises 8: Making decisions [PDF] [Solutions] [video]
December 3
[Live stream, 9:00 AM]
Lecture 11: Artificial general intelligence and beyond
Exercises 9: Reinforcement Learning
December 10 Correction of a past exam
December 13 Project 3 deadline

Projects

Pacman programming projects

Reading assignment

Your task is to read a major scientific paper in the field of Artificial Intelligence.

Paper: "Human-level control through deep reinforcement learning."
Volodymyr Mnih et al, 2015. [PDF]

The reading assignment includes the main text (pages 1-4), as well as the methods section (pages 6-7).

Short questions will be asked as part of the written exam. You do not have to produce any summary report.

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