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Learning low-dimensional state embeddings and metastable clusters from
  time series data
v1v2 (latest)

Learning low-dimensional state embeddings and metastable clusters from time series data

1 June 2019
Yifan Sun
Yaqi Duan
Hao Gong
Mengdi Wang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Learning low-dimensional state embeddings and metastable clusters from time series data"

5 / 5 papers shown
Title
Learning Good State and Action Representations via Tensor Decomposition
Learning Good State and Action Representations via Tensor Decomposition
Chengzhuo Ni
Yaqi Duan
M. Dahleh
Anru R. Zhang
Mengdi Wang
84
7
0
03 May 2021
Kernel Autocovariance Operators of Stationary Processes: Estimation and
  Convergence
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
Mattes Mollenhauer
Stefan Klus
Christof Schütte
P. Koltai
71
9
0
02 Apr 2020
Deep reconstruction of strange attractors from time series
Deep reconstruction of strange attractors from time series
W. Gilpin
AI4TS
41
3
0
14 Feb 2020
Spectral thresholding for the estimation of Markov chain transition
  operators
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
74
6
0
24 Aug 2018
Spectral State Compression of Markov Processes
Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
92
49
0
08 Feb 2018
1