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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

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 / 247 papers shown
Title
Cross-Domain Imitation Learning with a Dual Structure
Sungho Choi
Seungyul Han
Woojun Kim
Y. Sung
22
2
0
02 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
28
1,061
0
08 Apr 2020
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Xusen Yin
Jonathan May
14
3
0
06 Apr 2020
Neuroevolution of Self-Interpretable Agents
Neuroevolution of Self-Interpretable Agents
Yujin Tang
Duong Nguyen
David R Ha
19
111
0
18 Mar 2020
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic
  Signal Control
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly
Denis Larocque
Laurent Charlin
AI4CE
17
65
0
06 Mar 2020
Provably Efficient Third-Person Imitation from Offline Observation
Provably Efficient Third-Person Imitation from Offline Observation
Aaron Zweig
Joan Bruna
OffRL
12
2
0
27 Feb 2020
Representation Learning Through Latent Canonicalizations
Representation Learning Through Latent Canonicalizations
Or Litany
Ari S. Morcos
Srinath Sridhar
Leonidas J. Guibas
Judy Hoffman
SSL
OOD
DRL
12
2
0
26 Feb 2020
Symbolic Network: Generalized Neural Policies for Relational MDPs
Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg
Aniket Bajpai
Mausam
11
5
0
18 Feb 2020
Learning Group Structure and Disentangled Representations of Dynamical
  Environments
Learning Group Structure and Disentangled Representations of Dynamical Environments
Robin Quessard
Thomas D. Barrett
W. Clements
DRL
6
20
0
17 Feb 2020
Learning State Abstractions for Transfer in Continuous Control
Learning State Abstractions for Transfer in Continuous Control
Kavosh Asadi
David Abel
Michael L. Littman
OffRL
15
7
0
08 Feb 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
184
313
0
07 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory
Product Kanerva Machines: Factorized Bayesian Memory
Adam H. Marblestone
Yongpeng Wu
Greg Wayne
17
9
0
06 Feb 2020
Toward a Controllable Disentanglement Network
Toward a Controllable Disentanglement Network
Zengjie Song
Oluwasanmi Koyejo
Jiangshe Zhang
DRL
18
3
0
22 Jan 2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional
  Neural Networks
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks
Sahika Genc
S. Mallya
S. Bodapati
Tao Sun
Yunzhe Tao
13
6
0
02 Jan 2020
Learning to Navigate Using Mid-Level Visual Priors
Learning to Navigate Using Mid-Level Visual Priors
Alexander Sax
Jeffrey O. Zhang
Bradley Emi
Amir Zamir
Silvio Savarese
Leonidas J. Guibas
Jitendra Malik
SSL
14
58
0
23 Dec 2019
Playing Games in the Dark: An approach for cross-modality transfer in
  reinforcement learning
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
Rui Silva
Miguel Vasco
Francisco S. Melo
Ana Paiva
Manuela Veloso
OffRL
9
14
0
28 Nov 2019
Towards Better Understanding of Disentangled Representations via Mutual
  Information
Towards Better Understanding of Disentangled Representations via Mutual Information
Xiaojiang Yang
Wendong Bi
Yitong Sun
Yu Cheng
Junchi Yan
CML
CoGe
DRL
11
1
0
25 Nov 2019
Disentangled Cumulants Help Successor Representations Transfer to New
  Tasks
Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Christopher Grimm
I. Higgins
André Barreto
Denis Teplyashin
Markus Wulfmeier
Tim Hertweck
R. Hadsell
Satinder Singh
20
14
0
25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
dpVAEs: Fixing Sample Generation for Regularized VAEs
Riddhish Bhalodia
Iain Lee
Shireen Y. Elhabian
DRL
17
10
0
24 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
16
56
0
05 Nov 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on
  Contingency-aware Observation
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu
Boyuan Chen
Yang Gao
Trevor Darrell
OffRL
10
2
0
17 Oct 2019
How a minimal learning agent can infer the existence of unobserved
  variables in a complex environment
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
K. Ried
B. Eva
Thomas Müller
H. Briegel
9
15
0
15 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
42
436
0
02 Oct 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang
Tianpei Yang
Y. Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
AI4CE
24
110
0
06 Sep 2019
Dynamics-aware Embeddings
Dynamics-aware Embeddings
William F. Whitney
Rajat Agarwal
Kyunghyun Cho
Abhinav Gupta
SSL
17
53
0
25 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological
  Heterogeneity
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
9
5
0
14 Aug 2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A
  Deep Nuisance Disentanglement Approach
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu
Karthik Suresh
Priya Narayanan
Hongyu Xu
H. Kwon
Zhangyang Wang
AAML
26
76
0
11 Aug 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement
  Learning
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret
Raphaël Marinier
M. Geist
Olivier Pietquin
OffRL
21
6
0
18 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
33
356
0
06 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning
Attentive Multi-Task Deep Reinforcement Learning
Timo Bram
Gino Brunner
Oliver Richter
Roger Wattenhofer
CLL
15
18
0
05 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRL
BDL
25
371
0
01 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
19
6
0
26 Jun 2019
Shaping Belief States with Generative Environment Models for RL
Shaping Belief States with Generative Environment Models for RL
Karol Gregor
Danilo Jimenez Rezende
F. Besse
Yan Wu
Hamza Merzic
Aaron van den Oord
OffRL
AI4CE
14
117
0
21 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
41
254
0
19 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and
  Selection for Disentangling GANs
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
24
37
0
14 Jun 2019
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor
  Skill Acquisition in Robots
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
19
2
0
10 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a
  New Disentanglement Dataset
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
DRL
33
133
0
07 Jun 2019
Improving VAEs' Robustness to Adversarial Attack
Improving VAEs' Robustness to Adversarial Attack
M. Willetts
A. Camuto
Tom Rainforth
Stephen J. Roberts
Chris Holmes
DRL
AAML
11
5
0
01 Jun 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
13
226
0
31 May 2019
Unsupervised Model Selection for Variational Disentangled Representation
  Learning
Unsupervised Model Selection for Variational Disentangled Representation Learning
Sunny Duan
Loic Matthey
Andre Saraiva
Nicholas Watters
Christopher P. Burgess
Alexander Lerchner
I. Higgins
OOD
DRL
4
78
0
29 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
16
208
0
29 May 2019
Learning Portable Representations for High-Level Planning
Learning Portable Representations for High-Level Planning
Steven D. James
Benjamin Rosman
George Konidaris
SSL
11
41
0
28 May 2019
A Plug-in Method for Representation Factorization in Connectionist
  Models
A Plug-in Method for Representation Factorization in Connectionist Models
Jee Seok Yoon
Wonjun Ko
Heung-Il Suk
20
1
0
27 May 2019
An Explicitly Relational Neural Network Architecture
An Explicitly Relational Neural Network Architecture
Murray Shanahan
Kyriacos Nikiforou
Antonia Creswell
Christos Kaplanis
David Barrett
M. Garnelo
NAI
3DV
GAN
25
68
0
24 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design
Hierarchical Policy Learning is Sensitive to Goal Space Design
Zach Dwiel
Madhavun Candadai
Mariano Phielipp
Arjun K. Bansal
13
15
0
04 May 2019
Disentangling Factors of Variation Using Few Labels
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
26
122
0
03 May 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
Yuji Kanagawa
Tomoyuki Kaneko
19
12
0
17 Apr 2019
Symmetry-Based Disentangled Representation Learning requires Interaction
  with Environments
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
DRL
6
65
0
30 Mar 2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the
  World
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků
Petr Dluhos
Joseph Davidson
Matej Nikl
Simon Andersson
...
Martin Stránský
M. Hyben
Martin Poliak
Jan Feyereisl
Marek Rosa
AI4CE
SSL
14
0
0
20 Mar 2019
The AI Driving Olympics at NeurIPS 2018
The AI Driving Olympics at NeurIPS 2018
J. Zilly
J. Tani
Breandan Considine
Bhairav Mehta
Andrea F. Daniele
...
R. Hristov
S. Mallya
Emilio Frazzoli
A. Censi
Liam Paull
16
14
0
06 Mar 2019
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