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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
26 July 2017
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
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Papers citing
"DARLA: Improving Zero-Shot Transfer in Reinforcement Learning"
50 / 252 papers shown
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ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
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Petr Dluhos
Joseph Davidson
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Martin Poliak
Jan Feyereisl
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The AI Driving Olympics at NeurIPS 2018
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Raphael Lopez Kaufman
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01 Mar 2019
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Disentangling and Learning Robust Representations with Natural Clustering
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65
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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
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Jitendra Malik
SSL
77
16
0
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Variational Autoencoders Pursue PCA Directions (by Accident)
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Dominik Zietlow
Georg Martius
OOD
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78
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S. Racanière
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Danilo Jimenez Rezende
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136
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Transferring Knowledge across Learning Processes
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Pablo G. Moreno
Neil D. Lawrence
Andreas C. Damianou
57
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An Introduction to Deep Reinforcement Learning
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Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
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173
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30 Nov 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
162
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0
29 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
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Neural Predictive Belief Representations
Z. Guo
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Rémi Munos
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15 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
Xander Steenbrugge
Sam Leroux
Tim Verbelen
Bart Dhoedt
OOD
DRL
78
68
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12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional
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John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
65
3
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11 Nov 2018
Visual Semantic Navigation using Scene Priors
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Xinyu Wang
Ali Farhadi
Abhinav Gupta
Roozbeh Mottaghi
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15 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj
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Continual State Representation Learning for Reinforcement Learning using Generative Replay
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Michael Garcia Ortiz
David Filliat
BDL
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The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
DRL
41
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02 Oct 2018
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation
Timo Korthals
Jurgen Leitner
U. Rückert
DRL
27
3
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12 Sep 2018
Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet
Yoshua Bengio
Doina Precup
Joelle Pineau
OffRL
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12 Sep 2018
Learning Invariances for Policy Generalization
Rémi Tachet des Combes
Philip Bachman
H. V. Seijen
83
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07 Sep 2018
Discovering Influential Factors in Variational Autoencoder
Shiqi Liu
Jingxin Liu
Qian Zhao
Xiangyong Cao
Huibin Li
Hongying Meng
Sheng Liu
Deyu Meng
DRL
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24
1
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06 Sep 2018
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
126
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04 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
Sharad Vikram
Laura M. Smith
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42
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28 Aug 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
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Tom Eccles
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Alexander Lerchner
I. Higgins
BDL
84
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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
Zhenyu Wu
Zhangyang Wang
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22 Jul 2018
Visual Reinforcement Learning with Imagined Goals
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Zero-shot Domain Adaptation without Domain Semantic Descriptors
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Giovanni De Magistris
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Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
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124
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Dual Swap Disentangling
Zunlei Feng
Xinchao Wang
Chenglong Ke
Anxiang Zeng
Dacheng Tao
Xiuming Zhang
56
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Deep Reinforcement Learning For Sequence to Sequence Models
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Tian Shi
Naren Ramakrishnan
Chandan K. Reddy
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92
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Generative Temporal Models with Spatial Memory for Partially Observed Environments
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Yori Zwols
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120
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Gotta Learn Fast: A New Benchmark for Generalization in RL
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OffRL
74
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Understanding disentangling in
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Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
73
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10 Apr 2018
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
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79
145
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Learning Disentangled Joint Continuous and Discrete Representations
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121
242
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Visual Robot Task Planning
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Yotam Barnoy
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78
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Jürgen Schmidhuber
SyDa
178
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54
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