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A Novel Stochastic Gradient Descent Algorithm for Learning Principal
  Subspaces

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces

8 December 2022
Charline Le Lan
Joshua Greaves
Jesse Farebrother
Mark Rowland
Fabian Pedregosa
Rishabh Agarwal
Marc G. Bellemare
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Papers citing "A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces"

3 / 3 papers shown
Title
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
39
1
0
11 Nov 2024
Learning Successor States and Goal-Dependent Values: A Mathematical
  Viewpoint
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
Léonard Blier
Corentin Tallec
Yann Ollivier
46
30
0
18 Jan 2021
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
49
40
0
06 Jun 2018
1