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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
UniMASK: Unified Inference in Sequential Decision Problems
UniMASK: Unified Inference in Sequential Decision Problems
Micah Carroll
Orr Paradise
Jessy Lin
Raluca Georgescu
Mingfei Sun
...
Stephanie Milani
Katja Hofmann
Matthew J. Hausknecht
Anca Dragan
Sam Devlin
OffRL
26
21
0
20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward
  Functions
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
30
2
0
15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization
Redeeming Intrinsic Rewards via Constrained Optimization
Eric Chen
Zhang-Wei Hong
Joni Pajarinen
Pulkit Agrawal
OnRL
36
24
0
14 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
45
7
0
09 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILM
LRM
32
187
0
08 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
27
71
0
04 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially
  Observed Environments
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Burns
A. Sundaresan
Pedro Sequeira
Vidyasagar Sadhu
27
0
0
03 Nov 2022
Disentangled (Un)Controllable Features
Disentangled (Un)Controllable Features
Jacob E. Kooi
Mark Hoogendoorn
Vincent François-Lavet
DRL
27
0
0
31 Oct 2022
Reward Shaping Using Convolutional Neural Network
Reward Shaping Using Convolutional Neural Network
Hani Sami
Hadi Otrok
Jamal Bentahar
Azzam Mourad
Ernesto Damiani
32
3
0
30 Oct 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang
Kuangqi Zhou
Jiashi Feng
Bryan Hooi
Xinchao Wang
36
2
0
24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
62
9
0
23 Oct 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
39
22
0
22 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu
Li Jiang
Jianxiong Li
Xianyuan Zhan
OffRL
26
62
0
15 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yong-Jin Liu
Gao Huang
28
13
0
13 Oct 2022
Exploration via Elliptical Episodic Bonuses
Exploration via Elliptical Episodic Bonuses
Mikael Henaff
Roberta Raileanu
Minqi Jiang
Tim Rocktaschel
OffRL
35
40
0
11 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
29
16
0
09 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta
I. Char
J. Abbate
R. Conlin
M. Boyer
Stefano Ermon
J. Schneider
Willie Neiswanger
OffRL
27
6
0
06 Oct 2022
Visuo-Tactile Transformers for Manipulation
Visuo-Tactile Transformers for Manipulation
Yizhou Chen
A. Sipos
Mark Van der Merwe
Nima Fazeli
ViT
64
34
0
30 Sep 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
42
39
0
29 Sep 2022
Opportunities and Challenges from Using Animal Videos in Reinforcement
  Learning for Navigation
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation
Vittorio Giammarino
James Queeney
Lucas C. Carstensen
Michael Hasselmo
I. Paschalidis
OffRL
55
4
0
25 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar
Pietro Mazzaglia
Tim Verbelen
Alexandre Piché
Bart Dhoedt
Rameswar Panda
Alexandre Lacoste
SSL
30
21
0
24 Sep 2022
First-order Policy Optimization for Robust Markov Decision Process
First-order Policy Optimization for Robust Markov Decision Process
Yan Li
Guanghui Lan
Tuo Zhao
77
23
0
21 Sep 2022
Deep Model Predictive Variable Impedance Control
Deep Model Predictive Variable Impedance Control
Akhil S. Anand
Fares J. Abu-Dakka
J. Gravdahl
26
11
0
20 Sep 2022
Graph Value Iteration
Graph Value Iteration
Dieqiao Feng
Carla P. Gomes
B. Selman
11
0
0
20 Sep 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
42
35
0
19 Sep 2022
Rewarding Episodic Visitation Discrepancy for Exploration in
  Reinforcement Learning
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
36
12
0
19 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
91
0
0
09 Sep 2022
Cell-Free Latent Go-Explore
Cell-Free Latent Go-Explore
Quentin Gallouedec
Emmanuel Dellandrea
19
1
0
31 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Zijian Gao
Yiying Li
Kele Xu
Yuanzhao Zhai
Dawei Feng
Bo Ding
Xinjun Mao
Huaimin Wang
38
0
0
24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides
  Representations and Explorations
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations
Xufeng Zhao
C. Weber
Muhammad Burhan Hafez
S. Wermter
28
8
0
04 Aug 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
30
165
0
19 Jul 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
  Inverse Models
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
46
24
0
17 Jul 2022
Robust AI Driving Strategy for Autonomous Vehicles
Robust AI Driving Strategy for Autonomous Vehicles
S. Nageshrao
Yousaf Rahman
V. Ivanovic
M. Janković
E. Tseng
M. Hafner
Dimitar Filev
41
4
0
16 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
29
11
0
12 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition
Equivariant Representation Learning via Class-Pose Decomposition
Giovanni Luca Marchetti
Gustaf Tegnér
Anastasiia Varava
Danica Kragic
DRL
35
15
0
07 Jul 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
CML
AI4CE
28
18
0
16 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
68
0
16 Jun 2022
Visual Radial Basis Q-Network
Visual Radial Basis Q-Network
Julien Hautot
Céline Teulière
Nourddine Azzaoui
OffRL
19
1
0
14 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous
  Information
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
31
25
0
09 Jun 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement
  Learning
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang
Katherine Shu
Kimin Lee
Pieter Abbeel
21
58
0
24 May 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
193
5
0
21 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse
  Reward Visual Scenes
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Zheng Fang
Biao Zhao
Guizhong Liu
16
2
0
19 May 2022
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies
Mohamed Alami Chehboune
F. Llorente
Rim Kaddah
Luca Martino
Jesse Read
21
0
0
19 May 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
Zachary Seymour
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
30
8
0
17 May 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning
  Environments
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Ryan Sullivan
J. K. Terry
Benjamin Black
John P. Dickerson
30
8
0
14 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically
  Simulated Characters
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
Xue Bin Peng
Yunrong Guo
L. Halper
Sergey Levine
Sanja Fidler
28
15
0
04 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for
  Sample-Efficient Reinforcement Learning
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun
Hangwei Qian
Chunyan Miao
OffRL
34
12
0
02 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
28
324
0
02 May 2022
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