edium.com/oracledevs/lessons-from-alphazero-part-4-improving-the-training-target-6efba2e71628">Prasad, Abrams &amp; Young (2018)</a> saw gains averaging the search evaluation and the game result in Connect Four, weighting the former more heavily at the start of training and the latter more heavily at the end. <a href="https://arxiv.org/pdf/1902.10565.pdf">Wu (2020)</a> used a different approach in KataGo, adding auxiliary heads to the neural network with lower weight, targeting not just search evaluation bu