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Resolving Spurious Correlations in Causal Models of Environments via
  Interventions

Resolving Spurious Correlations in Causal Models of Environments via Interventions

12 February 2020
S. Volodin
Nevan Wichers
Jeremy Nixon
    CML
ArXivPDFHTML

Papers citing "Resolving Spurious Correlations in Causal Models of Environments via Interventions"

21 / 21 papers shown
Title
Learning Causal Models Online
Learning Causal Models Online
Khurram Javed
Martha White
Yoshua Bengio
CML
41
33
0
12 Jun 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
110
1,811
0
13 Dec 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
82
1,215
0
16 Oct 2019
Learning Neural Causal Models from Unknown Interventions
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke
O. Bilaniuk
Anirudh Goyal
Stefan Bauer
Hugo Larochelle
Bernhard Schölkopf
Michael C. Mozer
C. Pal
Yoshua Bengio
CML
OOD
84
168
0
02 Oct 2019
Learning Causal State Representations of Partially Observable
  Environments
Learning Causal State Representations of Partially Observable Environments
Amy Zhang
Zachary Chase Lipton
Luis Villaseñor-Pineda
Kamyar Azizzadenesheli
Anima Anandkumar
Laurent Itti
Joelle Pineau
Tommaso Furlanello
CML
56
49
0
25 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
81
357
0
27 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
75
350
0
25 May 2019
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
103
135
0
15 Nov 2018
Combined Reinforcement Learning via Abstract Representations
Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet
Yoshua Bengio
Doina Precup
Joelle Pineau
OffRL
53
89
0
12 Sep 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GAN
DRL
63
180
0
24 Jul 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
44
61
0
26 Feb 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the
  Causal Revolution
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
61
330
0
11 Jan 2018
The Consciousness Prior
The Consciousness Prior
Yoshua Bengio
DRL
AI4CE
39
229
0
25 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
285
18,685
0
20 Jul 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
106
2,423
0
15 May 2017
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
168
2,371
0
21 Jun 2016
Thompson Sampling is Asymptotically Optimal in General Environments
Thompson Sampling is Asymptotically Optimal in General Environments
Jan Leike
Tor Lattimore
Laurent Orseau
Marcus Hutter
89
39
0
25 Feb 2016
Visual Causal Feature Learning
Visual Causal Feature Learning
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
CML
OOD
63
139
0
07 Dec 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
109
12,163
0
19 Dec 2013
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes
J. Halpern
Judea Pearl
CML
88
72
0
10 Jan 2013
A Philosophical Treatise of Universal Induction
A Philosophical Treatise of Universal Induction
Samuel Rathmanner
Marcus Hutter
AI4CE
72
114
0
28 May 2011
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