AISep 27, 2018

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

arXiv:1809.10595v18 citations
Originality Synthesis-oriented
AI Analysis

This work addresses game AI development for Gomoku, but it is incremental as it adapts existing methods to a specific game.

The authors tackled the problem of creating a Gomoku AI by combining AlphaGo with Curriculum Learning, achieving human-level performance after two days of training on a single GPU.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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