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

50 / 521 papers shown
Title
Deep reinforcement learning for complex evaluation of one-loop diagrams
  in quantum field theory
Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory
Andreas Windisch
Thomas Gallien
Christopher Schwarzlmueller
19
4
0
27 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
43
188
0
23 Dec 2019
MALA: Cross-Domain Dialogue Generation with Action Learning
MALA: Cross-Domain Dialogue Generation with Action Learning
Xinting Huang
Jianzhong Qi
Yu Sun
Rui Zhang
LRM
28
18
0
18 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs
Aniruddha Kembhavi
Kiana Ehsani
Sarah M Pratt
Winson Han
Alvaro Herrasti
Eric Kolve
Dustin Schwenk
Roozbeh Mottaghi
Ali Farhadi
21
9
0
17 Dec 2019
Reinforcement Learning-based Visual Navigation with
  Information-Theoretic Regularization
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
19
30
0
09 Dec 2019
Attention-Privileged Reinforcement Learning
Attention-Privileged Reinforcement Learning
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
23
8
0
19 Nov 2019
Implicit Generative Modeling for Efficient Exploration
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff
Qinxun Bai
Fuxin Li
Wenyuan Xu
27
12
0
19 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Junfeng Fang
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
46
68
0
18 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation
  Reinforcement Learning
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Kumar Misra
Mikael Henaff
A. Krishnamurthy
John Langford
29
151
0
13 Nov 2019
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
OffRL
22
31
0
01 Nov 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement
  Learning
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
Patrik Reizinger
Marton Szemenyei
31
16
0
23 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning
Dealing with Sparse Rewards in Reinforcement Learning
J. Hare
21
77
0
21 Oct 2019
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
148
355
0
16 Oct 2019
Understanding the Limitations of Variational Mutual Information
  Estimators
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song
Stefano Ermon
SSL
DRL
14
202
0
14 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models
Regularizing Model-Based Planning with Energy-Based Models
Rinu Boney
Arno Solin
Alexander Ilin
6
18
0
12 Oct 2019
Influence-Based Multi-Agent Exploration
Influence-Based Multi-Agent Exploration
Tonghan Wang
Jianhao Wang
Yi Wu
Chongjie Zhang
24
137
0
12 Oct 2019
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep
  Reinforcement Learning
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning
Ruijian Han
Kani Chen
Chunxi Tan
19
14
0
12 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned
  Objectives
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
16
118
0
09 Oct 2019
Receding Horizon Curiosity
Receding Horizon Curiosity
M. Schultheis
Boris Belousov
Hany Abdulsamad
Jan Peters
25
15
0
08 Oct 2019
Object-centric Forward Modeling for Model Predictive Control
Object-centric Forward Modeling for Model Predictive Control
Yufei Ye
Dhiraj Gandhi
Abhinav Gupta
Shubham Tulsiani
LM&Ro
OCL
12
38
0
08 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy
  Reinforcement Learning
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng
Aviral Kumar
Grace Zhang
Sergey Levine
OffRL
22
541
0
01 Oct 2019
Emergent Tool Use From Multi-Agent Autocurricula
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
54
647
0
17 Sep 2019
Model Based Planning with Energy Based Models
Model Based Planning with Energy Based Models
Yilun Du
Toru Lin
Igor Mordatch
6
37
0
15 Sep 2019
Interactive Fiction Games: A Colossal Adventure
Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht
Prithviraj Ammanabrolu
Marc-Alexandre Côté
Xingdi Yuan
LLMAG
LM&Ro
AI4CE
18
193
0
11 Sep 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the
  playing field
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
24
25
0
13 Aug 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
23
270
0
27 Jul 2019
Efficient Novelty-Driven Neural Architecture Search
Efficient Novelty-Driven Neural Architecture Search
Miao Zhang
Huiqi Li
Shirui Pan
Taoping Liu
Steven W. Su
28
1
0
22 Jul 2019
Graph Policy Gradients for Large Scale Robot Control
Graph Policy Gradients for Large Scale Robot Control
Arbaaz Khan
Ekaterina V. Tolstaya
Alejandro Ribeiro
Vijay Kumar
10
93
0
08 Jul 2019
Reasoning and Generalization in RL: A Tool Use Perspective
Reasoning and Generalization in RL: A Tool Use Perspective
Sam Wenke
D. Saunders
Mike Qiu
J. Fleming
OffRL
LRM
18
5
0
03 Jul 2019
Learning the Arrow of Time
Learning the Arrow of Time
Nasim Rahaman
Steffen Wolf
Anirudh Goyal
Roman Remme
Yoshua Bengio
14
5
0
02 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in
  Interactive Environments
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah
C. Pal
SSL
27
2
0
27 Jun 2019
Emergence of Exploratory Look-Around Behaviors through Active
  Observation Completion
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
Santhosh Kumar Ramakrishnan
Dinesh Jayaraman
Kristen Grauman
20
40
0
27 Jun 2019
Optimistic Proximal Policy Optimization
Optimistic Proximal Policy Optimization
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
15
4
0
25 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSL
OCL
14
193
0
19 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating
  Next Expected Observations
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu
Tianyi Zhou
Jun Wang
Kai Xu
16
15
0
17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
29
10
0
17 Jun 2019
Epistemic Risk-Sensitive Reinforcement Learning
Epistemic Risk-Sensitive Reinforcement Learning
Hannes Eriksson
Christos Dimitrakakis
27
29
0
14 Jun 2019
Efficient Exploration via State Marginal Matching
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
35
242
0
12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features
Fast Task Inference with Variational Intrinsic Successor Features
Steven Hansen
Will Dabney
André Barreto
T. Wiele
David Warde-Farley
Volodymyr Mnih
BDL
44
151
0
12 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GAN
DRL
30
57
0
11 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
38
239
0
11 Jun 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
24
25
0
09 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
17
116
0
27 May 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning
Adaptive Symmetric Reward Noising for Reinforcement Learning
R. Vivanti
Talya D. Sohlberg-Baris
Shlomo Cohen
Orna Cohen
AAML
21
1
0
24 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
16
117
0
22 May 2019
Reinforcement Learning without Ground-Truth State
Reinforcement Learning without Ground-Truth State
Xingyu Lin
H. Baweja
David Held
OffRL
SSL
20
24
0
20 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
42
79
0
13 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
19
33
0
13 May 2019
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