<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Houqiang Li | PAIR Lab: PKU Alignment and Interaction Research Lab</title><link>https://pair-lab.ai/author/houqiang-li/</link><atom:link href="https://pair-lab.ai/author/houqiang-li/index.xml" rel="self" type="application/rss+xml"/><description>Houqiang Li</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 03 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://pair-lab.ai/media/icon_hu4f2a7092ab9dace538e8dee71ba34a1a_30036_512x512_fill_lanczos_center_3.png</url><title>Houqiang Li</title><link>https://pair-lab.ai/author/houqiang-li/</link></image><item><title>TIMAR: Transition-Informed Representation for Sample-Efficient Multi-agent Reinforcement Learning</title><link>https://pair-lab.ai/publication/nn/</link><pubDate>Thu, 03 Apr 2025 00:00:00 +0000</pubDate><guid>https://pair-lab.ai/publication/nn/</guid><description/></item><item><title>Remember the Past for Better Future: Memory-Augmented Offline RL</title><link>https://pair-lab.ai/publication/ieee_2024/</link><pubDate>Mon, 03 Jun 2024 00:00:00 +0000</pubDate><guid>https://pair-lab.ai/publication/ieee_2024/</guid><description/></item></channel></rss>