📄 中文摘要
构建一个棋类游戏 AI 是深入强化学习和搜索算法的绝佳方式。然而，构建 AI 后，如何测试其与其他算法的对抗成为新问题。为了解决这一问题，构建了一个双重生态系统：首先是一个名为“Gomoku Battle”的跨语言、跨系统的 AI 竞技场，允许不同语言和系统的 AI 进行对战；其次是一个轻量级、可读性强的 AlphaZero 实现，旨在主导这个竞技场。这两个项目的结合为 AI 的对抗测试提供了有效的平台。
我构建了一个 AI 竞技场并训练 AlphaZero 玩五子棋：方法详解
出处: I Built an AI Arena and Trained AlphaZero to Play Gomoku: Here’s How
发布: 2026年3月1日
📄 English Summary
I Built an AI Arena and Trained AlphaZero to Play Gomoku: Here’s How
Building a board game AI provides an excellent opportunity to delve into Reinforcement Learning and search algorithms. However, once the AI is built, a new challenge arises: how to test it against other algorithms. To address this, a two-part ecosystem was created. The first component is 'Gomoku Battle,' a cross-language and cross-system arena for AI agents, enabling different AI implementations to compete. The second component is a lightweight and readable implementation of AlphaZero, designed to excel in this arena. This combination offers an effective platform for testing AI against various algorithms.