AdaDelta is an adaptive learning rate optimization algorithm designed to address the limitations of AdaGrad by reducing its aggressive, monotonically decreasing learning rate. It achieves this by using a moving window of gradient updates to allow for more robust and efficient learning in deep neural networks without requiring a manually set learning rate schedule.