# AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning

arXiv: https://arxiv.org/abs/1809.10595 · HTML: https://mlsanity.com/paper/1809.10595/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Sep 2018.

## Built on by (most cited first, 3 of 3)

- [Gomoku: analysis of the game and of the player Wine](https://mlsanity.com/paper/2111.01016/) (2021)
- [Bridging Local and Global Knowledge via Transformer in Board Games](https://mlsanity.com/paper/2410.05347/) (2024)
- [Rapfi: Distilling Efficient Neural Network for the Game of Gomoku](https://mlsanity.com/paper/2503.13178/) (2025)

## Abstract (arXiv)

In this project, we combine AlphaGo algorithm with Curriculum Learning to crack the game of Gomoku. Modifications like Double Networks Mechanism and Winning Value Decay are implemented to solve the intrinsic asymmetry and short-sight of Gomoku. Our final AI AlphaGomoku, through two days' training on a single GPU, has reached humans' playing level.