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NewtonianVAE: Proportional Control and Goal Identification from Pixels
  via Physical Latent Spaces

NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces

2 June 2020
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
    DRL
ArXivPDFHTML

Papers citing "NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces"

6 / 6 papers shown
Title
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang
Dana Kulic
Michael Burke
34
0
0
18 Oct 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia
Jan van Gemert
Daan Brinks
Nergis Tömen
43
0
0
02 Oct 2024
World-Model-Based Control for Industrial box-packing of Multiple Objects
  using NewtonianVAE
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
Yusuke Kato
Ryogo Okumura
T. Taniguchi
DRL
27
1
0
04 Aug 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
49
18
0
30 Nov 2022
Sparse Representation Learning with Modified q-VAE towards Minimal
  Realization of World Model
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
29
6
0
08 Aug 2022
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
98
289
0
03 Mar 2020
1