On the Importance of Feature Decorrelation for Unsupervised
Representation Learning in Reinforcement Learning

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning

9 June 2023

Papers citing "On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning"

12 / 12 papers shown

Title
TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving Xuefeng Jiang Yuan Ma Pengxiang Li Leimeng Xu Xin Wen Kun Zhan Zhongpu Xia Peng Jia Xianpeng Lang Sheng Sun DiffM 16 0 0 14 May 2025
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning Donghu Kim Hojoon Lee Kyungmin Lee Dongyoon Hwang Jaegul Choo OffRL 29 1 0 10 Jun 2024
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 39 6 0 31 Oct 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 82 25 0 19 Jun 2023
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 48 72 0 05 Oct 2022
Light-weight probing of unsupervised representations for Reinforcement Learning Wancong Zhang Anthony GX-Chen Vlad Sobal Yann LeCun Nicolas Carion SSL OffRL 35 13 0 25 Aug 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 119 187 0 02 May 2021
BYOL works even without batch statistics Pierre Harvey Richemond Jean-Bastien Grill Florent Altché Corentin Tallec Florian Strub ... Samuel L. Smith Soham De Razvan Pascanu Bilal Piot Michal Valko SSL 250 114 0 20 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 339 0 14 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 76 317 0 18 Feb 2014