Symmetry-Based Disentangled Representation Learning requires Interaction
with Environments

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments

30 March 2019

Hugo Caselles-Dupré

Michael Garcia Ortiz

Papers citing "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments"

19 / 19 papers shown

Title
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 51 12 0 29 Sep 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 38 2 0 09 May 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 34 0 0 12 Jan 2023
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning Chi-Hang Suen Eduardo Alonso 26 0 0 11 Jan 2023
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations Marissa DÁlonzo Rebecca L. Russell 20 0 0 29 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 45 1 0 22 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 39 78 0 21 Nov 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 31 1 0 29 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 35 18 0 15 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 45 0 0 24 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 44 1 0 03 Aug 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 39 44 0 17 Mar 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 38 0 0 19 Feb 2022
Hamiltonian latent operators for content and motion disentanglement in image sequences Asif Khan Amos Storkey 29 2 0 02 Dec 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 45 22 0 07 Jun 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 24 27 0 20 Feb 2021
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 39 20 0 18 Aug 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 21 4 0 13 Feb 2020