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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 / 1,354 papers shown
Title
BeBold: Exploration Beyond the Boundary of Explored Regions
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
86
40
0
15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
118
5
0
15 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for
  Coordination and Communication
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication
T. V. D. Heiden
Christoph Salge
E. Gavves
H. V. Hoof
51
9
0
15 Dec 2020
General Policies, Serializations, and Planning Width
General Policies, Serializations, and Planning Width
Blai Bonet
Hector Geffner
28
3
0
15 Dec 2020
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan
Meng-Yu Tsai
Ti-Rong Wu
I-Chen Wu
Cho-Jui Hsieh
47
6
0
14 Dec 2020
Intrinsically Motivated Compositional Language Emergence
Intrinsically Motivated Compositional Language Emergence
Rishi Hazra
Sonu Dixit
Sayambhu Sen
78
1
0
09 Dec 2020
Self-supervised Deep Learning for Reading Activity Classification
Self-supervised Deep Learning for Reading Activity Classification
M. Islam
Shuji Sakamoto
Yoshihiro Yamada
Andrew W. Vargo
M. Iwata
Masakazu Iwamura
K. Kise
36
2
0
07 Dec 2020
Planning from Pixels using Inverse Dynamics Models
Planning from Pixels using Inverse Dynamics Models
Keiran Paster
Sheila A. McIlraith
Jimmy Ba
BDL
78
41
0
04 Dec 2020
Continuous Transition: Improving Sample Efficiency for Continuous
  Control Problems via MixUp
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Junfan Lin
Zhongzhan Huang
Keze Wang
Xiaodan Liang
Weiwei Chen
Liang Lin
38
11
0
30 Nov 2020
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving
  Truly End-to-End Sensorimotor Autonomous Learning Systems
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems
Emilio Cartoni
Davide Montella
Jochen Triesch
Gianluca Baldassarre Institute of Cognitive Sciences
55
1
0
27 Nov 2020
Sensorimotor representation learning for an "active self" in robots: A
  model survey
Sensorimotor representation learning for an "active self" in robots: A model survey
Phuong D. H. Nguyen
Yasmin Kim Georgie
E. Kayhan
Manfred Eppe
Verena V. Hafner
S. Wermter
69
16
0
25 Nov 2020
Learning Synthetic to Real Transfer for Localization and Navigational
  Tasks
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
Maxime Pietrantoni
Boris Chidlovskii
T. Silander
84
0
0
20 Nov 2020
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell
Mohammed Sharafath Abdul Hameed
Md Muzahid Khan
Andreas Schwung
LRM
15
0
0
17 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy
Leveraging the Variance of Return Sequences for Exploration Policy
Zerong Xi
G. Sukthankar
31
0
0
17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
ACDER: Augmented Curiosity-Driven Experience Replay
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
60
16
0
16 Nov 2020
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
77
8
0
16 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou
Sujay Bajracharya
David Held
OffRL
96
160
0
14 Nov 2020
Robotic self-representation improves manipulation skills and transfer
  learning
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen
Manfred Eppe
S. Wermter
SSL
36
1
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
85
45
0
13 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the
  Hessian
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Jack Parker-Holder
Luke Metz
Cinjon Resnick
Hengyuan Hu
Adam Lerer
Alistair Letcher
A. Peysakhovich
Aldo Pacchiano
Jakob N. Foerster
50
24
0
12 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
H. Tung
Xian Zhou
Mihir Prabhudesai
Shamit Lal
Katerina Fragkiadaki
84
28
0
12 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
69
15
0
11 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
131
44
0
11 Nov 2020
Perturbation-based exploration methods in deep reinforcement learning
Perturbation-based exploration methods in deep reinforcement learning
Sneha Aenugu
50
0
0
10 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via
  Reset-Games
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
88
34
0
10 Nov 2020
Leveraging Forward Model Prediction Error for Learning Control
Leveraging Forward Model Prediction Error for Learning Control
Sarah Bechtle
Bilal Hammoud
Akshara Rai
Franziska Meier
Ludovic Righetti
41
3
0
07 Nov 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu
Weixun Wang
Hangtian Jia
Yixiang Wang
Yingfeng Chen
Jianye Hao
Feng Wu
Changjie Fan
OffRL
112
180
0
05 Nov 2020
Representation Matters: Improving Perception and Exploration for
  Robotics
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Roland Hafner
Thomas Lampe
Martin Riedmiller
101
16
0
03 Nov 2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via
  Latent Model Ensembles
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Tim Seyde
Wilko Schwarting
S. Karaman
Daniela Rus
112
14
0
27 Oct 2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based
  Reinforcement Learning
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning
Xiyao Wang
Junge Zhang
Wenzhen Huang
Qiyue Yin
51
0
0
24 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel Environments
TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong
Zhenyuan Zhang
Nima Fazeli
Dmitry Berenson
79
7
0
23 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang
Yujie Lu
Hang Zhao
102
5
0
23 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
90
25
0
22 Oct 2020
Imitation with Neural Density Models
Imitation with Neural Density Models
Kuno Kim
Akshat Jindal
Yang Song
Jiaming Song
Yanan Sui
Stefano Ermon
84
13
0
19 Oct 2020
Belief-Grounded Networks for Accelerated Robot Learning under Partial
  Observability
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Hai V. Nguyen
Brett Daley
Xinchao Song
Chris Amato
Robert Platt
83
14
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
94
137
0
18 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep
  Reinforcement Learning
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Chenjia Bai
Peng Liu
Kaiyu Liu
Zhaoran Wang
Yingnan Zhao
Lingxiao Wang
SSL
81
18
0
17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse
  Rewards
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
Siyu Dai
Wenyuan Xu
Andreas G. Hofmann
B. Williams
97
8
0
15 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
87
27
0
14 Oct 2020
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Zhixin Chen
Mengxiang Lin
58
6
0
14 Oct 2020
A Defeasible Calculus for Zetetic Agents
A Defeasible Calculus for Zetetic Agents
Jared Millson
19
4
0
11 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Hassam Sheikh
Shauharda Khadka
Santiago Miret
Somdeb Majumdar
OffRL
69
7
0
08 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning
Online Safety Assurance for Deep Reinforcement Learning
Noga H. Rotman
Michael Schapira
Aviv Tamar
OffRL
96
5
0
07 Oct 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for
  Causal Representation Learning
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Anand Sontakke
Arash Mehrjou
Laurent Itti
Bernhard Schölkopf
CML
106
63
0
07 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement
  Learning
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta
Anuj Mahajan
Bei Peng
Wendelin Bohmer
Shimon Whiteson
OffRL
123
50
0
06 Oct 2020
Safety Aware Reinforcement Learning (SARL)
Safety Aware Reinforcement Learning (SARL)
Santiago Miret
Somdeb Majumdar
Carroll L. Wainwright
69
1
0
06 Oct 2020
Reward Propagation Using Graph Convolutional Networks
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov
Doina Precup
GNN
64
17
0
06 Oct 2020
Latent World Models For Intrinsically Motivated Exploration
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov
N. Sebe
120
25
0
05 Oct 2020
Temporal Difference Uncertainties as a Signal for Exploration
Temporal Difference Uncertainties as a Signal for Exploration
Sebastian Flennerhag
Jane X. Wang
Pablo Sprechmann
Francesco Visin
Alexandre Galashov
Steven Kapturowski
Diana Borsa
N. Heess
André Barreto
Razvan Pascanu
OffRL
52
14
0
05 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
242
877
0
05 Oct 2020
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