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Hierarchical Reinforcement Learning with Optimal Level Synchronization
  based on a Deep Generative Model

Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model

17 July 2021
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
ArXivPDFHTML

Papers citing "Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model"

22 / 22 papers shown
Title
Decoupling Global and Local Representations via Invertible Generative
  Flows
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma
X. Kong
Shanghang Zhang
Eduard H. Hovy
DRL
66
3
0
12 Apr 2020
Learning Representations in Model-Free Hierarchical Reinforcement
  Learning
Learning Representations in Model-Free Hierarchical Reinforcement Learning
J. Rafati
D. Noelle
48
45
0
23 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement
  Learning
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
60
211
0
02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
295
3,134
0
09 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
99
808
0
21 May 2018
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
74
193
0
09 Apr 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative
  Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Soheil Kolouri
Phillip E. Pope
Charles E. Martin
Gustavo K. Rohde
36
94
0
05 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
172
5,187
0
26 Feb 2018
Tighter Variational Bounds are Not Necessarily Better
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth
Adam R. Kosiorek
T. Le
Chris J. Maddison
Maximilian Igl
Frank Wood
Yee Whye Teh
DRL
167
198
0
13 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
309
8,352
0
04 Jan 2018
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
210
1,354
0
19 May 2017
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
84
905
0
03 Mar 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
329
4,574
0
13 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
424
3,213
0
30 Oct 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,399
0
12 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
266
78
0
26 May 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
477
2,570
0
25 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
258
14,012
0
19 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,248
0
09 Sep 2015
MADE: Masked Autoencoder for Distribution Estimation
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OOD
SyDa
UQCV
170
868
0
12 Feb 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,231
0
19 Dec 2013
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