Learning to Play

This site hosts material for the Book and Course Learning to Play
Reinforcement Learning and Games

cover

The book is published by Springer Verlag, written by Aske Plaat, Leiden University, The Netherlands. You can order a copy here.

By kind permission of the publisher a full preprint pdf is available here for academic or educational purposes, only if the source is referenced or acknowledged in the customary academic way.

Book Learning to Play Reinforcement Learning and Games
Preface
Chapter 1: Introduction
Chapter 2: Intelligence & Games
Chapter 3: Reinforcement Learning
Chapter 4: Heuristic Planning
Chapter 5: Adaptive Sampling
Chapter 6: Function Approximation
Chapter 7: Self-Play
Chapter 8: Conclusion

Lecture Slides
Lecture 1: About the course
Lecture 2: Intelligence & Games
Lecture 3: Reinforcement Learning
Lecture 4: Heuristic Planning
Lecture 5: Adaptive Sampling
Lecture 6: Function Approximation
Lecture 7: Self-Play
Lecture 8: Future & AGI

Assignments
Assignment 1: Heuristic Planning
Assignment 2: Adaptive Sampling
Assignment 3: Function Approximation
Assignment 4: Self-Play

Exam
Sample Exam 2020