<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic AI on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/agentic-ai/</link><description>Recent content in Agentic AI on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 06 Nov 2025 22:00:00 +0530</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/categories/agentic-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Rollouts and Rewards</title><link>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/understanding-rollouts-and-rewards/</link><pubDate>Thu, 06 Nov 2025 22:00:00 +0530</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/understanding-rollouts-and-rewards/</guid><description>&lt;h2 id="understanding-rollouts-and-rewards"&gt;Understanding Rollouts and Rewards&lt;/h2&gt;
&lt;p&gt;In the Agentic Lightening framework, &lt;code&gt;rollouts&lt;/code&gt; and &lt;code&gt;rewards&lt;/code&gt; are two of the most fundamental concepts that directly drive the learning process. Without a clear understanding of these, you cannot effectively train and optimize your AI agents. This chapter will demystify what a rollout entails and, more importantly, equip you with the knowledge to design impactful reward functions.&lt;/p&gt;
&lt;h3 id="what-is-a-rollout"&gt;What is a Rollout?&lt;/h3&gt;
&lt;p&gt;A &lt;strong&gt;rollout&lt;/strong&gt; in Agentic Lightening refers to a single, complete execution of your &lt;code&gt;LitAgent&lt;/code&gt; on a given &lt;code&gt;AgentLightningTask&lt;/code&gt;. It represents an interaction sequence where the agent processes an input, potentially takes multiple internal steps (e.g., calling tools, querying an LLM, performing reasoning), and ultimately produces an output or reaches a terminal state.&lt;/p&gt;</description></item></channel></rss>