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Self-Supervised Exploration via Disagreement

Self-Supervised Exploration via Disagreement

10 June 2019
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
    SSL
ArXivPDFHTML

Papers citing "Self-Supervised Exploration via Disagreement"

42 / 92 papers shown
Title
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
117
0
25 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
19
9
0
24 Feb 2022
Uncertainty-driven Planner for Exploration and Navigation
Uncertainty-driven Planner for Exploration and Navigation
G. Georgakis
Bernadette Bucher
Anton Arapin
Karl Schmeckpeper
Nikolai Matni
Kostas Daniilidis
24
48
0
24 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and
  Computational Models
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Eliza Kosoy
Adrian Liu
Jasmine Collins
David M. Chan
Jessica B. Hamrick
Nan Rosemary Ke
Sandy H Huang
Bryanna Kaufmann
John F. Canny
Alison Gopnik
CML
22
9
0
21 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
74
65
0
01 Feb 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos
Eszter Vértes
Zita Marinho
Gregory Farquhar
Diana Borsa
A. Friesen
Feryal M. P. Behbahani
Tom Schaul
André Barreto
Simon Osindero
44
7
0
08 Dec 2021
Enhanced Exploration in Neural Feature Selection for Deep Click-Through
  Rate Prediction Models via Ensemble of Gating Layers
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers
L. Guan
Xia Xiao
Ming-yue Chen
Youlong Cheng
24
1
0
07 Dec 2021
Flexible Option Learning
Flexible Option Learning
Martin Klissarov
Doina Precup
OffRL
41
26
0
06 Dec 2021
Distribution Estimation to Automate Transformation Policies for
  Self-Supervision
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
9
6
0
24 Nov 2021
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Jordan T. Ash
Cyril Zhang
Surbhi Goel
A. Krishnamurthy
Sham Kakade
40
6
0
21 Oct 2021
Shaping embodied agent behavior with activity-context priors from
  egocentric video
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan
Kristen Grauman
EgoV
LM&Ro
43
13
0
14 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
27
15
0
05 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from
  Curious Exploration
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
Oliver Groth
Markus Wulfmeier
Giulia Vezzani
Vibhavari Dasagi
Tim Hertweck
Roland Hafner
N. Heess
Martin Riedmiller
LRM
41
20
0
17 Sep 2021
Focus on Impact: Indoor Exploration with Intrinsic Motivation
Focus on Impact: Indoor Exploration with Intrinsic Motivation
Roberto Bigazzi
Federico Landi
S. Cascianelli
Lorenzo Baraldi
Marcella Cornia
Rita Cucchiara
OffRL
29
13
0
14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
36
92
0
14 Sep 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
24
60
0
25 Aug 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
32
8
0
12 Jul 2021
Active Learning of Abstract Plan Feasibility
Active Learning of Abstract Plan Feasibility
Michael Noseworthy
Caris Moses
Isa Brand
Sebastian Castro
L. Kaelbling
Tomás Lozano-Pérez
Nicholas Roy
25
22
0
01 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
26
134
0
01 Jul 2021
Learning to Map for Active Semantic Goal Navigation
Learning to Map for Active Semantic Goal Navigation
G. Georgakis
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Kostas Daniilidis
32
73
0
29 Jun 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
41
195
0
08 Mar 2021
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
30
40
0
15 Dec 2020
How to Train PointGoal Navigation Agents on a (Sample and Compute)
  Budget
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
Erik Wijmans
Irfan Essa
Dhruv Batra
3DPC
30
10
0
11 Dec 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
19
16
0
25 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
11
1
0
13 Nov 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Bo-wen Li
Kim Ji Eun
Ding Zhao
AAML
16
99
0
16 Sep 2020
Automatic Curriculum Learning through Value Disagreement
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
32
103
0
17 Jun 2020
Semantic Curiosity for Active Visual Learning
Semantic Curiosity for Active Visual Learning
Devendra Singh Chaplot
Helen Jiang
Saurabh Gupta
Abhinav Gupta
ObjD
16
72
0
16 Jun 2020
Planning to Explore via Self-Supervised World Models
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
24
397
0
12 May 2020
Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision
A. Deshmukh
Abhimanu Kumar
Levi Boyles
Denis Xavier Charles
Eren Manavoglu
Ürün Dogan
SSL
31
3
0
18 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
19
167
0
10 Mar 2020
Ready Policy One: World Building Through Active Learning
Ready Policy One: World Building Through Active Learning
Philip J. Ball
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
OffRL
27
49
0
07 Feb 2020
An Exploration of Embodied Visual Exploration
An Exploration of Embodied Visual Exploration
Santhosh Kumar Ramakrishnan
Dinesh Jayaraman
Kristen Grauman
LM&Ro
30
98
0
07 Jan 2020
Implicit Generative Modeling for Efficient Exploration
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff
Qinxun Bai
Fuxin Li
Wenyuan Xu
19
12
0
19 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
OffRL
14
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
23
16
0
23 Oct 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
30
356
0
06 Jul 2019
Model-Based Active Exploration
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
19
177
0
29 Oct 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
16
808
0
07 Sep 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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