Book #17 - Deep Learning and the Game of Go

Deep Learning and the Game of Go
by Max Pumperla and Kevin Ferguson (2019)

Chapter 4 Playing games with tree search November 3, 2021	Presenter

Chapter 4 Playing games with tree search November 3, 2021	Presenter
Classifying games	Casey
Anticipating your opponent with minimax search
Solving tic-tac-toe: a minimax example
Reducing search space with pruning
Evaluating game states with Monte Carlo tree search	Casey

Chapter 3 Implementing your first Go bot September 8, 2021	Presenter

Chapter 3 Implementing your first Go bot September 8, 2021	Presenter
Representing a game of Go in Python	Jens
Capturing game state and checking for illegal moves	Casey
Ending a game	Casey
Creating your first bot: the weakest Go AI imaginable	Casey
Speeding up game play with Zobrist hashing	Casey
Playing against your bot	Casey

Chapter 2 Go as a machine-learning problem July 28, 2021	Presenter

Chapter 2 Go as a machine-learning problem July 28, 2021	Presenter
Why games?	Jens
A lightning introduction to the game of Go	Jens & Casey
Handicaps	Jens - August 11, 2021
Where to learn more	Casey - August 11, 2021
What can we teach a machine?	Casey - August 11, 2021
How to measure your Go AI’s strength	Casey - August 11, 2021

Chapter 1 Toward deep learning: a machine-learning introduction July 14, 2021	Presenter

Chapter 1 Toward deep learning: a machine-learning introduction July 14, 2021	Presenter
What is machine learning?	Casey
Machine learning by example	Casey
Deep learning	Casey