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Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
9 July 2024
Augustine N. Mavor-Parker
Matthew J. Sargent
Caswell Barry
Lewis D. Griffin
Clare Lyle
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Papers citing
"Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning"
6 / 6 papers shown
Title
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
Damien Teney
Liangze Jiang
Florin Gogianu
Ehsan Abbasnejad
76
0
0
13 Mar 2025
Plastic Learning with Deep Fourier Features
Alex Lewandowski
Dale Schuurmans
Marlos C. Machado
CLL
31
2
0
27 Oct 2024
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
83
178
0
16 May 2022
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alexander C. Li
Deepak Pathak
32
16
0
06 Dec 2021
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
James Martens
Andy Ballard
Guillaume Desjardins
G. Swirszcz
Valentin Dalibard
Jascha Narain Sohl-Dickstein
S. Schoenholz
69
40
0
05 Oct 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
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