Mask-based Latent Reconstruction for Reinforcement Learning

28 January 2022

Papers citing "Mask-based Latent Reconstruction for Reinforcement Learning"

7 / 7 papers shown

Title
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 24 1 0 30 Jun 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 32 1 0 20 May 2024
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 13 2 0 05 Sep 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 38 9 0 25 May 2023
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 16 115 0 25 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 268 337 0 14 Sep 2020