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Variational Intrinsic Control

Variational Intrinsic Control

22 November 2016
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
    DRL
    OffRL
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Papers citing "Variational Intrinsic Control"

14 / 114 papers shown
Title
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
24
25
0
09 Jun 2019
Routing Networks and the Challenges of Modular and Compositional
  Computation
Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
40
78
0
29 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
36
269
0
08 Mar 2019
The Termination Critic
The Termination Critic
Anna Harutyunyan
Will Dabney
Diana Borsa
N. Heess
Rémi Munos
Doina Precup
OffRL
24
48
0
26 Feb 2019
CLIC: Curriculum Learning and Imitation for object Control in
  non-rewarding environments
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments
Pierre Fournier
Olivier Sigaud
Cédric Colas
Mohamed Chetouani
OffRL
40
26
0
28 Jan 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRL
OffRL
SSL
41
173
0
28 Nov 2018
A unified strategy for implementing curiosity and empowerment driven
  reinforcement learning
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Ildefons Magrans de Abril
Ryota Kanai
33
18
0
18 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 Jun 2018
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
SSL
BDL
AIFin
37
142
0
07 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
DRL
CoGe
CML
24
61
0
26 Feb 2018
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
24
91
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
LRM
SSL
78
2,401
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
9
260
0
02 Mar 2017
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