Original Summary

I've been building a game-playing agent with help from coding assistants. Its first chapter was Pokémon Yellow, where the best completed build reached the Hall of Fame in 7h 33m 11s of wall-clock time at 6× game speed. Now I'm working on Project Zomboid. Finding food, managing fatigue and getting home safely are a much less forgiving set of problems. I made a public viewer so people can see the run, its decisions and the history of previous characters. There's also a learning view that shows whether a component was evaluated, rejected, kept in shadow mode, or actually used by the player. That distinction has turned out to matter a lot. Recording a death and running a training job doesn't automatically mean the next character learned anything. The project is still working through that gap. You can watch here, without an account: https://labo.dpit.es/ The interface is in Spanish. I'd like feedback on the viewing experience too: can you tell what the agent is trying to do, and why it gets stuck?   submitted by   /u/d_pit [link]   [comments]

中文概览

中文标题： Zomboid IA——从《宝可梦黄》起步的实时游戏游玩代理

作者用编码助手构建游戏游玩代理。首章《宝可梦黄》最佳完成版在6倍速下7小时33分11秒进入名人堂；现做《Project Zomboid》，面临找食物、疲劳管理和安全回家等更严苛问题。已提供公开查看器，可看运行、决策与历代角色；学习视图显示组件被评估、拒绝、影子保留或实际使用。作者指出记录死亡并训练不代表下个角色已学会，项目仍在弥补差距。可免账号观看，界面为西语，并希望获得观看体验反馈。

  • 情报分类：开源项目与落地
  • 分类依据：描述个人构建游戏AI代理项目，含公开查看器与运行反馈。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/29 22:51:03