Overcoming the Spectral Bias of Neural Value Approximation

9 June 2022

Papers citing "Overcoming the Spectral Bias of Neural Value Approximation"

9 / 9 papers shown

Title
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 184 1 0 16 Dec 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 138 0 0 19 Oct 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 118 2 0 09 Jul 2024
Neural networks trained with SGD learn distributions of increasing complexity Maria Refinetti Alessandro Ingrosso Sebastian Goldt UQCV 139 43 0 21 Nov 2022
Strong Lensing Source Reconstruction Using Continuous Neural Fields S. Mishra-Sharma Ge Yang 132 13 0 29 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 115 164 0 15 Jun 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime Benjamin Bowman Guido Montúfar 82 15 0 06 Jun 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 77 13 0 05 Jun 2022
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt Daniel Palenicek Boris Belousov Max Argus Artemij Amiranashvili Thomas Brox Jan Peters 131 57 0 14 Feb 2019