Reptile: A scalable meta-learning algorithm

Researchers have developed Reptile, a new meta-learning algorithm that improves machine learning efficiency by repeatedly sampling tasks and updating parameters through stochastic gradient descent. The algorithm is mathematically similar to first-order MAML but requires only black-box access to optimizers like SGD or Adam while maintaining similar performance and computational efficiency.