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VFunc: a Deep Generative Model for Functions

VFunc: a Deep Generative Model for Functions

11 July 2018
Philip Bachman
Riashat Islam
Alessandro Sordoni
Zafarali Ahmed
    VLMBDL
ArXiv (abs)PDFHTML

Papers citing "VFunc: a Deep Generative Model for Functions"

12 / 12 papers shown
Title
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
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep
  Networks for Thompson Sampling
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
C. Riquelme
George Tucker
Jasper Snoek
BDL
85
366
0
26 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
110
349
0
20 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
317
8,406
0
04 Jan 2018
Inverse Reward Design
Inverse Reward Design
Dylan Hadfield-Menell
S. Milli
Pieter Abbeel
Stuart J. Russell
Anca Dragan
84
399
0
08 Nov 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
95
361
0
10 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,719
0
15 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
421
2,478
0
10 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
73
1,739
0
08 Mar 2017
DeepMind Lab
DeepMind Lab
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
...
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
50
241
0
12 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
854
9,346
0
06 Jun 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,892
0
20 May 2015
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