1 code implementation • 12 Feb 2024 • Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
This paper theoretically studies the implicit bias of policy gradient in terms of extrapolation to unseen initial states.
1 code implementation • 20 Mar 2023 • Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
Focusing on locally connected neural networks (a prevalent family of architectures that includes convolutional and recurrent neural networks as well as local self-attention models), we address this problem by adopting theoretical tools from quantum physics.
