论文标题

Keke AI竞争:在动态变化的机械空间中解决拼图水平

Keke AI Competition: Solving puzzle levels in a dynamically changing mechanic space

论文作者

Charity, M, Togelius, Julian

论文摘要

Keke AI竞赛推出了游戏Baba的人造代理竞赛,这是您 - 类似索科邦的益智游戏,玩家可以创建影响游戏机制的规则。更改规则可能会导致可能是解决方案空间一部分的级别的临时或永久效应。这些动态规则的性质和游戏的确定性方面为AI构成了适应各种机械组合以解决水平的挑战。本文介绍了用于对提交代理进行排名的框架和评估指标,并从样本搜索剂中产生了基线结果。

The Keke AI Competition introduces an artificial agent competition for the game Baba is You - a Sokoban-like puzzle game where players can create rules that influence the mechanics of the game. Altering a rule can cause temporary or permanent effects for the rest of the level that could be part of the solution space. The nature of these dynamic rules and the deterministic aspect of the game creates a challenge for AI to adapt to a variety of mechanic combinations in order to solve a level. This paper describes the framework and evaluation metrics used to rank submitted agents and baseline results from sample tree search agents.

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