<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Imitation on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/imitation/</link><description>Recent content in Imitation on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/imitation/index.xml" rel="self" type="application/rss+xml"/><item><title>学徒学习</title><link>https://terms-en.ai-term-hub.com/zh/terms/apprenticeship_learning/</link><pubDate>Sat, 18 Jul 2026 11:05:01 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/apprenticeship_learning/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>学徒学习，也称为基于演示的逆强化学习，使智能体能够通过观察专家行为来获取技能，而不是完全依赖奖励函数。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>一种强化学习方法，智能体通过模仿专家的演示来学习策略。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>逆强化学习&lt;/li>
&lt;li>专家演示&lt;/li>
&lt;li>策略模仿&lt;/li>
&lt;li>奖励推断&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>自动驾驶训练&lt;/li>
&lt;li>机器人操作任务&lt;/li>
&lt;li>游戏AI&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E6%A8%A1%E4%BB%BF%E5%AD%A6%E4%B9%A0-imitation-learning/">模仿学习 (Imitation Learning)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0-reinforcement-learning/">强化学习 (Reinforcement Learning)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E5%9F%BA%E4%BA%8E%E6%BC%94%E7%A4%BA%E7%9A%84%E5%AD%A6%E4%B9%A0-demonstration-based-learning/">基于演示的学习 (Demonstration-Based Learning)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E5%A5%96%E5%8A%B1%E5%A1%91%E9%80%A0-reward-shaping/">奖励塑造 (Reward Shaping)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>