Reptile: A scalable meta-learning algorithm

OpenAI Blog · 8 years ago

Researchers developed Reptile, a meta-learning algorithm that samples tasks, applies stochastic gradient descent to each, and updates initial parameters based on the learned results. Reptile achieves computational efficiency comparable to first-order MAML while requiring only black-box optimizer access. The algorithm enables faster adaptation to new tasks by learning better initialization points across multiple learning episodes.