Overcoming the Spectral Bias of Neural Value Approximation

9 June 2022

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

19 / 19 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 127 0 0 13 Mar 2025
Enhancing Deep Reinforcement Learning-based Robot Navigation Generalization through Scenario Augmentation Shanze Wang Mingao Tan Z. Yang X. Wang Xiaoyu Shen Hailong Huang Wei Zhang 48 0 0 03 Mar 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 82 0 0 16 Dec 2024
Plastic Learning with Deep Fourier Features Alex Lewandowski Dale Schuurmans Marlos C. Machado CLL 42 3 0 27 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 52 0 0 19 Oct 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang Glen Berseth OffRL 40 1 0 07 Sep 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 37 2 0 09 Jul 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning Xiaoyu Wen Chenjia Bai Kang Xu Xudong Yu Yang Zhang Xuelong Li Zhen Wang 34 2 0 10 May 2024
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback M. Torné Max Balsells Zihan Wang Samedh Desai Tao Chen Pulkit Agrawal Abhishek Gupta 13 8 0 20 Jul 2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He Tianyi Zhou Meng Fang S. Maghsudi 29 4 0 29 Jun 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang M. Zhang Jianye Hao 18 1 0 02 Mar 2023
Neural networks trained with SGD learn distributions of increasing complexity Maria Refinetti Alessandro Ingrosso Sebastian Goldt UQCV 30 41 0 21 Nov 2022
Strong Lensing Source Reconstruction Using Continuous Neural Fields S. Mishra-Sharma Ge Yang 69 13 0 29 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime Benjamin Bowman Guido Montúfar 14 14 0 06 Jun 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 17 12 0 05 Jun 2022
Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander C. Li Deepak Pathak 40 16 0 06 Dec 2021
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 43 56 0 19 Oct 2020
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 19 43 0 14 Feb 2019