Polyak Averaging

Key TakeawaysPolyak averaging, also known as Polyak-Ruppert averaging, is a technique used in machine learning to improve the performance and stability of models, especially in the context of deep learning.Polyak Averaging smoothens training by averaging model parameters, reducing sensitivity to noisy updates.Averaging parameters improves the model's ability to generalize, leading to better performance on unseen data.In reinforcement learning, it balances exploring new actions and exploit...