Reptile: A Scalable Meta-Learning Algorithm

Reptile: A Scalable Meta-Learning Algorithm

  • March 8, 2018
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Reptile: A Scalable Meta-Learning Algorithm

We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. This method performs as well as MAML, a broadly applicable meta-learning algorithm, while being simpler to implement and more computationally efficient.

Source: openai.com

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