Deep Learning and the Game of Go
by Max Pumperla and Kevin Ferguson (2019)
Meetup:
Zoom: https://us02web.zoom.us/j/84281187589
Manning: https://www.manning.com/books/deep-learning-and-the-game-of-go
Github:
Chapter 4 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 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 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 July 14, 2021 | Presenter |
|---|---|
What is machine learning? | Casey |
Machine learning by example | Casey |
Deep learning | Casey |