<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reinforcement Learning |</title><link>http://localhost:1313/tags/reinforcement-learning/</link><atom:link href="http://localhost:1313/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><description>Reinforcement Learning</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>http://localhost:1313/media/icon_hu_da05098ef60dc2e7.png</url><title>Reinforcement Learning</title><link>http://localhost:1313/tags/reinforcement-learning/</link></image><item><title>Reinforcement Learning for Eco-Driving in Mixed Traffic</title><link>http://localhost:1313/projects/eco-driving-rl/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>http://localhost:1313/projects/eco-driving-rl/</guid><description>&lt;p&gt;Developing RL-based control strategies that let connected and automated vehicles save energy while coexisting with heterogeneous human drivers. Our field-data-calibrated framework reduces energy consumption by over 6% without compromising safety or string stability.&lt;/p&gt;</description></item><item><title>Adaptive Leading Cruise Control in Mixed Traffic Considering Human Behavioral Diversity</title><link>http://localhost:1313/publications/adaptive-leading-cruise-2023/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>http://localhost:1313/publications/adaptive-leading-cruise-2023/</guid><description/></item></channel></rss>