ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.06991
  4. Cited By
Learning Group Structure and Disentangled Representations of Dynamical
  Environments

Learning Group Structure and Disentangled Representations of Dynamical Environments

17 February 2020
Robin Quessard
Thomas D. Barrett
W. Clements
    DRL
ArXivPDFHTML

Papers citing "Learning Group Structure and Disentangled Representations of Dynamical Environments"

10 / 10 papers shown
Title
Policy Gradient Methods in the Presence of Symmetries and State
  Abstractions
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
David Meger
Doina Precup
33
2
0
09 May 2023
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
David Meger
Doina Precup
35
18
0
15 Sep 2022
Equivariant Representation Learning via Class-Pose Decomposition
Equivariant Representation Learning via Class-Pose Decomposition
Giovanni Luca Marchetti
Gustaf Tegnér
Anastasiia Varava
Danica Kragic
DRL
35
15
0
07 Jul 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
31
44
0
17 Mar 2022
Transformation Coding: Simple Objectives for Equivariant Representations
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava
A. Mondal
Siamak Ravanbakhsh
OffRL
33
0
0
19 Feb 2022
Commutative Lie Group VAE for Disentanglement Learning
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
40
22
0
07 Jun 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
33
2
0
07 Apr 2021
Towards Building A Group-based Unsupervised Representation
  Disentanglement Framework
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
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter
Jonathon S. Hare
Adam Prugel-Bennett
CoGe
DRL
39
20
0
18 Aug 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,378
0
12 Dec 2018
1