<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Game AI on Kaijie Xu</title><link>https://nortrom1213.github.io/tags/game-ai/</link><description>Recent content in Game AI on Kaijie Xu</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://nortrom1213.github.io/tags/game-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Action Selection in Multiplayer Hidden-Information Games with Expected Target Entropy</title><link>https://nortrom1213.github.io/publications/2026-cog-expected-target-entropy/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-cog-expected-target-entropy/</guid><description>A reusable belief-state adapter and one-step expected-target-entropy policy evaluate information-seeking action selection in multiplayer hidden-information games.</description></item><item><title>Efficient Multi-Guard Patrol through Extended Composite Potential Fields</title><link>https://nortrom1213.github.io/publications/2026-cog-efficient-multi-guard-patrol/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-cog-efficient-multi-guard-patrol/</guid><description>Three modular CPF extensions improve real-time efficiency, spatial coordination, and area coverage for multi-guard stealth patrols.</description></item><item><title>Generate Diverse Skills with Large Language Models</title><link>https://nortrom1213.github.io/publications/2026-fdg-generate-diverse-skills-llms/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-fdg-generate-diverse-skills-llms/</guid><description>Neural Spore Genesis evaluates local open-weight LLMs for generating coherent and diverse auto-battler combat skills from spatial elemental layouts.</description></item><item><title>Path2Patrol: Path-Conditioned Guard Generation in Stealth Games through MAP-Elites</title><link>https://nortrom1213.github.io/publications/2026-cog-path2patrol/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-cog-path2patrol/</guid><description>Path2Patrol uses MAP-Elites to generate guard patrols conditioned on a designer-specified player solution path for stealth games.</description></item><item><title>(Perlin) Noise as AI coordinator</title><link>https://nortrom1213.github.io/publications/2026-fdg-perlin-noise-ai-coordinator/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-fdg-perlin-noise-ai-coordinator/</guid><description>A general framework that uses continuous noise fields (e.g., Perlin noise) as a scalable coordinator for large-scale nonplayer agent control.</description></item><item><title>High Dimensional Procedural Content Generation</title><link>https://nortrom1213.github.io/publications/2026-fdg-hdpcg/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-fdg-hdpcg/</guid><description>We introduce High-Dimensional PCG (HDPCG), treating gameplay-relevant dimensions beyond geometry as first-class coordinates for controllable, verifiable generation.</description></item><item><title>How Far Can We Go with Pixels Alone? A Pilot Study on Screen-Only Navigation in Commercial 3D ARPGs</title><link>https://nortrom1213.github.io/publications/2026-fdg-pixels-alone-navigation/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-fdg-pixels-alone-navigation/</guid><description>A screen-only exploration and navigation agent driven by visual affordances for Dark Souls-style linear 3D ARPG levels.</description></item></channel></rss>