(Q(s, a)\)</span> - <em>action-utility function</em> = <em>Q-function</em> maps actions <span class="math notranslate nohighlight">\(\to\)</span> utility</p></li>
<li><p><em>reflex agent</em>: learns <span class="math notranslate nohighlight">\(Q(s)\)</span> - policy that maps directly from states to actions</p></li>
</ul>
</li>
</ul>
</li>
</ul>
<section id="passive-reinforcement-learning-estimate-value-function-given-policy">
<h3><span class="section-number">1.10.5.1. </span>passive reinforcement learning