lassical pruning and achieves deeper, more accurate searches by guiding MCTS towards the most promising lines. Despite evaluating the slow neural network at every position, these types of engines can still beat classical engines by taking a more &quot;human&quot; approach, finding regions of the search tree that classical engines underestimate and ignore, in a &quot;Tortoise and the Hare&quot;-type situation (see Figure 3).</p>

        <figure>
            <img src="figure3.png" />
            <figcaption>