Synthetic dreaming for state-conditioned epistemic exploration in neural networks.
Artificial intelligence (AI) systems typically learn from externally provided data, which constrains their generalization, robustness under distributional shift, and creative capacity. Inspired by biological dreaming, we propose a learning framework termed synthetic dreaming, in which a neural network generates interna...