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Curiosity-driven Exploration by Self-supervised Prediction

Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
    LRMSSL
ArXiv (abs)PDFHTML

Papers citing "Curiosity-driven Exploration by Self-supervised Prediction"

50 / 1,353 papers shown
Title
Learning Time-Sensitive Strategies in Space Fortress
Akshat Agarwal
Ryan Hope
Katia Sycara
60
0
0
17 May 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
128
301
0
23 Apr 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
68
10
0
19 Apr 2018
On Learning Intrinsic Rewards for Policy Gradient Methods
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng
Junhyuk Oh
Satinder Singh
77
210
0
17 Apr 2018
Learning Awareness Models
Learning Awareness Models
Brandon Amos
Laurent Dinh
Serkan Cabi
Thomas Rothörl
Sergio Gomez Colmenarejo
Alistair Muldal
Tom Erez
Yuval Tassa
Nando de Freitas
Misha Denil
105
44
0
17 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLMOffRL
74
177
0
10 Apr 2018
Information Maximizing Exploration with a Latent Dynamics Model
Information Maximizing Exploration with a Latent Dynamics Model
Trevor Barron
Oliver Obst
H. B. Amor
65
3
0
04 Apr 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
81
145
0
02 Apr 2018
Curiosity-driven Exploration for Mapless Navigation with Deep
  Reinforcement Learning
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
Oleksii Zhelo
Jingwei Zhang
L. Tai
Ming-Yuan Liu
Wolfram Burgard
68
105
0
02 Apr 2018
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Kiana Ehsani
Hessam Bagherinezhad
Joseph Redmon
Roozbeh Mottaghi
Ali Farhadi
VGen
91
59
0
28 Mar 2018
What deep learning can tell us about higher cognitive functions like
  mindreading?
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru
Raul Vicente
AIMat
56
3
0
28 Mar 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
211
1,102
0
27 Mar 2018
Forward-Backward Reinforcement Learning
Forward-Backward Reinforcement Learning
Ashley D. Edwards
Laura Downs
James C. Davidson
75
38
0
27 Mar 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement
  Learning for Planned-Ahead Vision-and-Language Navigation
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Xin Eric Wang
Wenhan Xiong
Hongmin Wang
William Yang Wang
85
202
0
21 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
69
20
0
19 Mar 2018
An efficient framework for learning sentence representations
An efficient framework for learning sentence representations
Lajanugen Logeswaran
Honglak Lee
107
544
0
07 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal
  Exploration
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré
Sébastien Forestier
Olivier Sigaud
Pierre-Yves Oudeyer
SSLDRL
86
95
0
02 Mar 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
107
383
0
01 Mar 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
92
65
0
28 Feb 2018
Investigating Human Priors for Playing Video Games
Investigating Human Priors for Playing Video Games
Rachit Dubey
Pulkit Agrawal
Deepak Pathak
Thomas Griffiths
Alexei A. Efros
OffRL
134
146
0
28 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
299
2,912
0
21 Feb 2018
Emergence of Structured Behaviors from Curiosity-Based Intrinsic
  Motivation
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
56
22
0
21 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
96
120
0
21 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
265
1,089
0
16 Feb 2018
The Mechanics of n-Player Differentiable Games
The Mechanics of n-Player Differentiable Games
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
MLT
97
275
0
15 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement
  Learning Algorithms
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
Cédric Colas
Olivier Sigaud
Pierre-Yves Oudeyer
138
159
0
14 Feb 2018
Learning via social awareness: Improving a deep generative sketching
  model with facial feedback
Learning via social awareness: Improving a deep generative sketching model with facial feedback
Natasha Jaques
J. McCleary
Jesse Engel
David R Ha
Fred Bertsch
Rosalind W. Picard
Douglas Eck
67
12
0
13 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
107
228
0
13 Feb 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Zhang-Wei Hong
Tzu-Yun Shann
Shih-Yang Su
Yi-Hsiang Chang
Chun-Yi Lee
103
124
0
13 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
118
321
0
12 Feb 2018
Deceptive Games
Deceptive Games
Damien Anderson
Matthew Stephenson
Julian Togelius
Christoph Salge
J. Levine
Jochen Renz
67
28
0
31 Jan 2018
Curiosity-driven reinforcement learning with homeostatic regulation
Curiosity-driven reinforcement learning with homeostatic regulation
Ildefons Magrans de Abril
Ryota Kanai
89
28
0
23 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
144
339
0
07 Jan 2018
A Deep Policy Inference Q-Network for Multi-Agent Systems
A Deep Policy Inference Q-Network for Multi-Agent Systems
Zhang-Wei Hong
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
62
84
0
21 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output
  Gradients
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
Joel Lehman
Jay Chen
Jeff Clune
Kenneth O. Stanley
68
93
0
18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
120
349
0
18 Dec 2017
Learning by Asking Questions
Learning by Asking Questions
Ishan Misra
Ross B. Girshick
Rob Fergus
M. Hebert
Abhinav Gupta
Laurens van der Maaten
79
84
0
04 Dec 2017
Run, skeleton, run: skeletal model in a physics-based simulation
Run, skeleton, run: skeletal model in a physics-based simulation
Mikhail Pavlov
Sergey Kolesnikov
Sergey Plis
AI4CE
78
14
0
18 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
  Reinforcement Learning
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar
Tim Rocktaschel
Maximilian Igl
Shimon Whiteson
OffRL
106
71
0
31 Oct 2017
Learning to Look Around: Intelligently Exploring Unseen Environments for
  Unknown Tasks
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
Dinesh Jayaraman
Kristen Grauman
SSL
87
106
0
01 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
101
208
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
185
2,830
0
19 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
101
190
0
07 Aug 2017
CASSL: Curriculum Accelerated Self-Supervised Learning
CASSL: Curriculum Accelerated Self-Supervised Learning
Adithyavairavan Murali
Lerrel Pinto
Dhiraj Gandhi
Abhinav Gupta
SSL
73
35
0
04 Aug 2017
Automatic Mapping of NES Games with Mappy
Automatic Mapping of NES Games with Mappy
J. Osborn
A. Summerville
Michael Mateas
79
21
0
12 Jul 2017
Automated Game Design Learning
Automated Game Design Learning
J. Osborn
A. Summerville
Michael Mateas
AI4CE
55
18
0
11 Jul 2017
Hashing over Predicted Future Frames for Informed Exploration of Deep
  Reinforcement Learning
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin
Jianda Chen
Sinno Jialin Pan
51
5
0
03 Jul 2017
Parameter Space Noise for Exploration
Parameter Space Noise for Exploration
Matthias Plappert
Rein Houthooft
Prafulla Dhariwal
Szymon Sidor
Richard Y. Chen
Xi Chen
Tamim Asfour
Pieter Abbeel
Marcin Andrychowicz
122
597
0
06 Jun 2017
Universal Reinforcement Learning Algorithms: Survey and Experiments
Universal Reinforcement Learning Algorithms: Survey and Experiments
John Aslanides
Jan Leike
Marcus Hutter
OffRL
69
19
0
30 May 2017
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
87
92
0
18 May 2017
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