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  4. Cited By
Variational Intrinsic Control

Variational Intrinsic Control

22 November 2016
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
    DRLOffRL
ArXiv (abs)PDFHTML

Papers citing "Variational Intrinsic Control"

11 / 311 papers shown
Title
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement
  Learning with Trajectory Embeddings
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes
YuXuan Liu
Abhishek Gupta
Benjamin Eysenbach
Pieter Abbeel
Sergey Levine
SSLBDLAIFin
148
153
0
07 Jun 2018
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled
  Empowerment Minimisation
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation
Christian Guckelsberger
Christoph Salge
Julian Togelius
120
16
0
04 Jun 2018
Disentangling the independently controllable factors of variation by
  interacting with the world
Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas
Emmanuel Bengio
W. Fedus
Jules Pondard
Philippe Beaudoin
Hugo Larochelle
Joelle Pineau
Doina Precup
Yoshua Bengio
DRLCoGeCML
207
65
0
26 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
795
1,197
0
16 Feb 2018
Unsupervised Real-Time Control through Variational Empowerment
Unsupervised Real-Time Control through Variational Empowerment
Maximilian Karl
Maximilian Soelch
Philip Becker-Ehmck
Djalel Benbouzid
Patrick van der Smagt
Justin Bayer
116
57
0
13 Oct 2017
Learning body-affordances to simplify action spaces
Learning body-affordances to simplify action spaces
N. Guttenberg
Martin Biehl
Ryota Kanai
AI4CE
76
2
0
15 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum LearningJournal of machine learning research (JMLR), 2017
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
325
198
0
07 Aug 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement
  Learning
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
224
99
0
18 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
519
2,698
0
15 May 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
272
273
0
02 Mar 2017
Options Discovery with Budgeted Reinforcement Learning
Options Discovery with Budgeted Reinforcement Learning
Aurélia Léon
Ludovic Denoyer
OffRL
198
4
0
21 Nov 2016
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