<?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>Q-Learning on Amin Abyaneh</title><link>https://aminabyaneh.github.io/tags/q-learning/</link><description>Recent content in Q-Learning on Amin Abyaneh</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aminabyaneh.github.io/tags/q-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Drift Q-Learning</title><link>https://aminabyaneh.github.io/papers/driftql/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://aminabyaneh.github.io/papers/driftql/</guid><description>Drift Q-Learning replaces expensive denoising chains in offline RL with a single-pass drift field that attracts actions toward safe data support while repelling them from collapse, guided by the critic.</description></item></channel></rss>