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Counterfactual Data Augmentation using Locally Factored Dynamics
v1v2 (latest)

Counterfactual Data Augmentation using Locally Factored Dynamics

6 July 2020
Silviu Pitis
Elliot Creager
Animesh Garg
    BDLOffRL
ArXiv (abs)PDFHTML

Papers citing "Counterfactual Data Augmentation using Locally Factored Dynamics"

50 / 67 papers shown
Title
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
Donghuo Zeng
Roberto Legaspi
Yuewen Sun
Xinshuai Dong
Kazushi Ikeda
Peter Spirtes
Kun Zhang
CML
80
0
0
08 Apr 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
86
0
0
24 Jan 2025
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRLGP
561
2,029
0
04 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
87
660
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
99
791
0
28 Apr 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution
  Correction
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
51
102
0
16 Mar 2020
Universal Value Density Estimation for Imitation Learning and
  Goal-Conditioned Reinforcement Learning
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
66
13
0
15 Feb 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGeOODDRL
240
319
0
07 Feb 2020
Causally Correct Partial Models for Reinforcement Learning
Causally Correct Partial Models for Reinforcement Learning
Danilo Jimenez Rezende
Ivo Danihelka
George Papamakarios
Nan Rosemary Ke
Ray Jiang
...
Jane X. Wang
Jovana Mitrović
F. Besse
Ioannis Antonoglou
Lars Buesing
AI4TS
74
34
0
07 Feb 2020
Unsupervised Disentanglement of Pose, Appearance and Background from
  Images and Videos
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
Aysegül Dündar
Kevin J. Shih
Animesh Garg
R. Pottorf
Andrew Tao
Bryan Catanzaro
29
34
0
26 Jan 2020
Towards Practical Multi-Object Manipulation using Relational
  Reinforcement Learning
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
56
111
0
23 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCLDRL
74
284
0
27 Nov 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
89
337
0
24 Sep 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
68
364
0
03 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
98
952
0
19 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
170
1,695
0
06 Jun 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented
  Agents
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
61
190
0
06 Jun 2019
Gradient-Based Neural DAG Learning
Gradient-Based Neural DAG Learning
Sébastien Lachapelle
P. Brouillard
T. Deleu
Simon Lacoste-Julien
BDLCML
62
275
0
05 Jun 2019
Explainable Reinforcement Learning Through a Causal Lens
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
CML
101
361
0
27 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
114
117
0
22 May 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal
  Models
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst
David Sontag
CMLOffRL
71
173
0
14 May 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Justin Fu
Aviral Kumar
Matthew Soh
Sergey Levine
OffRL
79
142
0
26 Feb 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
87
528
0
22 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs
Credit Assignment Techniques in Stochastic Computation Graphs
T. Weber
N. Heess
Lars Buesing
David Silver
76
45
0
07 Jan 2019
Deconfounding Reinforcement Learning in Observational Settings
Deconfounding Reinforcement Learning in Observational Settings
Chaochao Lu
Bernhard Schölkopf
José Miguel Hernández-Lobato
CMLOOD
139
75
0
26 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
234
1,613
0
07 Dec 2018
Quantifying Generalization in Reinforcement Learning
Quantifying Generalization in Reinforcement Learning
K. Cobbe
Oleg Klimov
Christopher Hesse
Taehoon Kim
John Schulman
OffRL
109
671
0
06 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
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
124
1,467
0
29 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
114
137
0
15 Nov 2018
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning
  Leveraging Symbolic Planning
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu
Fangkai Yang
Bo Liu
Steven M. Gustafson
OffRL
84
152
0
31 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
119
274
0
01 Oct 2018
Counterfactual Fairness in Text Classification through Robustness
Counterfactual Fairness in Text Classification through Robustness
Sahaj Garg
Vincent Perot
Nicole Limtiaco
Ankur Taly
Ed H. Chi
Alex Beutel
99
261
0
27 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience
  Replay
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Sameera Lanka
Tianfu Wu
50
30
0
06 Sep 2018
Reducing Gender Bias in Abusive Language Detection
Reducing Gender Bias in Abusive Language Detection
Ji Ho Park
Jamin Shin
Pascale Fung
FaML
51
340
0
22 Aug 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
153
1,880
0
01 Aug 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
84
543
0
12 Jul 2018
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration
  Matters
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
Aniruddh Raghu
Omer Gottesman
Yao Liu
Matthieu Komorowski
A. Faisal
Finale Doshi-Velez
Emma Brunskill
OffRL
62
34
0
03 Jul 2018
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
159
221
0
05 Jun 2018
Object-Oriented Dynamics Predictor
Object-Oriented Dynamics Predictor
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
AI4CE
61
35
0
25 May 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OODCMLBDLDRL
82
166
0
06 Apr 2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized
  Baselines
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu
Aravind Rajeswaran
Yan Duan
Vikash Kumar
Alexandre M. Bayen
Sham Kakade
Igor Mordatch
Pieter Abbeel
OffRL
61
153
0
20 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
180
5,187
0
26 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
...
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
66
572
0
26 Feb 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
82
2,789
0
13 Dec 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
125
863
0
29 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
102
1,421
0
10 Oct 2017
Value Prediction Network
Value Prediction Network
Junhyuk Oh
Satinder Singh
Honglak Lee
77
333
0
11 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
253
2,328
0
05 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
131,652
0
12 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
140
4,485
0
07 Jun 2017
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