English(EN) PokaiTrainer: Scaling Belief-State Search to Competitive Pok\'emon VGC

AI代理通过信念状态搜索应对复杂的宝可梦VGC

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了PokaiTrainer，一个能够参加复杂的宝可梦VGC双打比赛的AI代理。该系统利用PokaiEngine，一个基于Rust的对战引擎，可以有效地计算联合行动的完整结果分布。PokaiTrainer将Student of Games方法应用于处理VGC的规模，将每个决策视为计算预算内的贝叶斯矩阵博弈。该代理在Showdown排行榜上对阵人类玩家的胜率为59%，最高Elo评分达到前500名。 AI

影响展示了先进的AI搜索技术在高度复杂、多代理、同步动作游戏环境中的应用。

排序理由该项目是一篇研究论文，详细介绍了一个新的AI代理及其复杂游戏的底层引擎。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Max Yu · 2026-09-01 04:00

PokaiTrainer：将信念状态搜索扩展到竞技宝可梦VGC

arXiv:2608.29197v1 Announce Type: cross Abstract: Decision-time equilibrium search carried poker to superhuman play, but it has so far relied on tractable subgames: a handful of actions per decision, chance confined to card deals, one player moving at a time. Competitive Pok\'emo…

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PokaiTrainer：将信念状态搜索扩展到竞技宝可梦VGC

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