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Cramer Type Distances for Learning Gaussian Mixture Models by Gradient
  Descent

Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent

13 July 2023
Ruichong Zhang
ArXivPDFHTML

Papers citing "Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent"

4 / 4 papers shown
Title
Fully Parameterized Quantile Function for Distributional Reinforcement
  Learning
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang
Li Zhao
Zichuan Lin
Tao Qin
Jiang Bian
Tie-Yan Liu
OOD
OffRL
59
136
0
05 Nov 2019
Statistics and Samples in Distributional Reinforcement Learning
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland
Robert Dadashi
Saurabh Kumar
Rémi Munos
Marc G. Bellemare
Will Dabney
OffRL
51
89
0
21 Feb 2019
Cramer-Wold AutoEncoder
Cramer-Wold AutoEncoder
Szymon Knop
Jacek Tabor
Przemyslaw Spurek
Igor T. Podolak
Marcin Mazur
Stanislaw Jastrzebski
GAN
41
34
0
23 May 2018
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
156
7,623
0
22 Sep 2015
1