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Independently Controllable Features

Independently Controllable Features

22 March 2017
Emmanuel Bengio
Valentin Thomas
Joelle Pineau
Doina Precup
Yoshua Bengio
    DRL
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Papers citing "Independently Controllable Features"

14 / 14 papers shown
Title
Learning Neuro-Symbolic Skills for Bilevel Planning
Learning Neuro-Symbolic Skills for Bilevel Planning
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
37
59
0
21 Jun 2022
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
22
26
0
06 Apr 2020
Disentangling Controllable Object through Video Prediction Improves
  Visual Reinforcement Learning
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
Yuanyi Zhong
A. Schwing
Jian Peng
DRL
15
5
0
21 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents
On the Sensory Commutativity of Action Sequences for Embodied Agents
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
21
4
0
13 Feb 2020
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
35
85
0
10 Jun 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
35
26
0
28 Jan 2019
Learning Independently-Obtainable Reward Functions
Learning Independently-Obtainable Reward Functions
Christopher Grimm
Satinder Singh
14
4
0
24 Jan 2019
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
29
3
0
11 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning
Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi
Yijie Guo
Marcin Moczulski
Junhyuk Oh
Neal Wu
Mohammad Norouzi
Honglak Lee
8
73
0
05 Nov 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations
  for Interventional Robustness
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter
Ðorðe Miladinovic
Bernhard Schölkopf
Stefan Bauer
CML
OOD
DRL
19
159
0
31 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Alban Laflaquière
Michael Garcia Ortiz
17
3
0
02 Oct 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas Griffiths
26
68
0
12 Jul 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
21
10
0
19 Apr 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
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