<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Decision Making :: FlitSoft Docs</title><link>https://hill68.github.io/gaming/index.html</link><description>决策与博弈</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Mon, 04 Aug 2025 17:07:50 +0800</lastBuildDate><atom:link href="https://hill68.github.io/gaming/index.xml" rel="self" type="application/rss+xml"/><item><title>Behavior Tree</title><link>https://hill68.github.io/gaming/behavior-tree/index.html</link><pubDate>Fri, 01 Aug 2025 17:07:50 +0800</pubDate><guid>https://hill68.github.io/gaming/behavior-tree/index.html</guid><description>行为树</description></item><item><title>动态环境下多无人机任务分配技术现状</title><link>https://hill68.github.io/gaming/multi-uav-task-assignment-in-dynamic-environments-ch/index.html</link><pubDate>Mon, 04 Aug 2025 17:07:50 +0800</pubDate><guid>https://hill68.github.io/gaming/multi-uav-task-assignment-in-dynamic-environments-ch/index.html</guid><description>对2013年至2024年间多无人机系统中动态任务分配的最新解决方案进行了全面研究。同时，提出了一个比较框架，用以根据应变能力（responsiveness）、鲁棒性（robustness）和可扩展性（scalability）等指标，评估算法在应对现实世界动态条件时的表现。</description></item></channel></rss>