w samples</p></li>
<li><p><a class="reference external" href="https://proceedings.mlr.press/v70/finn17a.html">Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks</a> (finn, levine, &amp; abbeel, 2017) - treat metalearner itself as an RL algorithm</p></li>
</ul>
</li>
<li><p>multitask learning</p>
<ul>
<li><p>sometimes have the ability to decide which new tasks to add (e.g. by changing simulator)</p></li>
</ul>
</li>
</ul>
</section>
<section id="offline-rl">
<h4><span class="section-number">1.