<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Agent Simulation | Zunzhe Zhang</title><link>https://tuagoale.github.io/tags/multi-agent-simulation/</link><atom:link href="https://tuagoale.github.io/tags/multi-agent-simulation/index.xml" rel="self" type="application/rss+xml"/><description>Multi-Agent Simulation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 08 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://tuagoale.github.io/media/icon.svg</url><title>Multi-Agent Simulation</title><link>https://tuagoale.github.io/tags/multi-agent-simulation/</link></image><item><title>Virtual Community: An Open World for Humans, Robots, and Society</title><link>https://tuagoale.github.io/publications/virtual-community/</link><pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate><guid>https://tuagoale.github.io/publications/virtual-community/</guid><description>&lt;p&gt;Virtual Community studies what happens when humans and robots coexist in shared, physically grounded communities. The platform combines scalable scene generation, real-world geospatial structure, grounded agent communities, and robot simulation powered by a physics engine.&lt;/p&gt;
&lt;p&gt;The work introduces two benchmark settings: a Community Planning Challenge for open-world multi-agent reasoning, and a Community Robot Challenge for coordination among heterogeneous robots. Together, they make social and physical interaction testable at a scale that is difficult to study in isolated robotics benchmarks.&lt;/p&gt;</description></item></channel></rss>