must read materials for Go AI Project
If you think anything is a must-read to our project, please feel free to attach it here.
- 围棋入门教程, 聂卫平, 2003, pdf
- Don't stuck in details
- English wikipedia
- Tutorial with illustration
- 邱百瑞-围棋入门(流畅)
- Max-min search & alpha-beta pruning & ... AI textbook
- 棋类AI一般的实现方法(以六子棋为例)
- 五子棋的决策树实现(选择决策标准)(非alpha-beta)
- Standford DL wiki
- read chapter 1,2, 4, 5, 6, 8
- Deep reinforcement learning
- Original draft (Have a glance at commands)
- Use cases of our library
- Overview website
- Current status of AI Go(2009)
- Facebook Darkforest paper (important)
- DarkforestGo code
- Google Alphago paper (too short, no code or data)