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Analytic Manifold Learning: Unifying and Evaluating Representations for
  Continuous Control

Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control

15 June 2020
Rika Antonova
Maksim Maydanskiy
Danica Kragic
Sam Devlin
Katja Hofmann
ArXivPDFHTML

Papers citing "Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control"

4 / 4 papers shown
Title
On the Geometry of Reinforcement Learning in Continuous State and Action
  Spaces
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
Saket Tiwari
Omer Gottesman
George Konidaris
26
0
0
29 Dec 2022
Vanishing Component Analysis with Contrastive Normalization
Vanishing Component Analysis with Contrastive Normalization
R. Masuya
Yuichi Ike
Hiroshi Kera
27
0
0
27 Oct 2022
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
65
617
0
22 Nov 2021
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
82
1,234
0
30 Nov 2018
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