   </figcaption>
        </figure>

        <p>Using this blending approach requires a different kind of search algorithm. Classical engines generally use alpha-beta pruning, an optimized variation of what is broadly a <em>minimax</em> approach, assuming best play from each side and placing absolute trust in every static evaluation. AlphaGo Zero and AlphaZero's innovation here was to instead use Monte Carlo tree search (MCTS) driven by the policy output of the neural network. The policy takes the place of c