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CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

8 April 2020
A. Srinivas
Michael Laskin
Pieter Abbeel
    SSL
    DRL
    OffRL
ArXivPDFHTML

Papers citing "CURL: Contrastive Unsupervised Representations for Reinforcement Learning"

50 / 269 papers shown
Title
Mean Shift Mask Transformer for Unseen Object Instance Segmentation
Mean Shift Mask Transformer for Unseen Object Instance Segmentation
Ya Lu
Yuqiao Chen
Nicholas Ruozzi
Yu Xiang
24
23
0
21 Nov 2022
Joint Embedding Predictive Architectures Focus on Slow Features
Joint Embedding Predictive Architectures Focus on Slow Features
Vlad Sobal
V. JyothirS
Siddhartha Jalagam
Nicolas Carion
Kyunghyun Cho
Yann LeCun
24
8
0
20 Nov 2022
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow
  from Point Clouds
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds
Daniel Seita
Yufei Wang
Sarthak J. Shetty
Edward Li
Zackory M. Erickson
David Held
3DPC
30
49
0
16 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
37
20
0
16 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure
Benjamin Eysenbach
Ofir Nachum
Jonathan Tompson
SSL
OffRL
38
8
0
03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Dinesh Manocha
Dacheng Tao
38
13
0
02 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal
  Conditioned Reinforcement Learning
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
23
9
0
01 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
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
28
15
0
27 Oct 2022
Towards customizable reinforcement learning agents: Enabling preference
  specification through online vocabulary expansion
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
Utkarsh Soni
Nupur Thakur
S. Sreedharan
L. Guan
Mudit Verma
Matthew Marquez
Subbarao Kambhampati
34
6
0
27 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
35
22
0
22 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating
Learning Robust Dynamics through Variational Sparse Gating
A. Jain
Shivakanth Sujit
S. Joshi
Vincent Michalski
Danijar Hafner
Samira Ebrahimi Kahou
27
8
0
21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic
  Manipulator Control
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang
Xin Wang
Shu Hu
Bin Zhu
Xiaomeng Huang
Xi Wu
Siwei Lyu
SSL
29
5
0
20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Z. Tu
OffRL
31
15
0
19 Oct 2022
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
31
21
0
18 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
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
30
49
0
13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
38
26
0
10 Oct 2022
Learning Depth Vision-Based Personalized Robot Navigation From Dynamic
  Demonstrations in Virtual Reality
Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality
Jorge de Heuvel
Nathan Corral
Benedikt Kreis
Jacobus Conradi
Anne Driemel
Maren Bennewitz
37
13
0
04 Oct 2022
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin
B. Chamberlain
Michael M. Bronstein
Jonathan J. Hunt
43
21
0
04 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho
D. Shim
H. J. Kim
OffRL
42
11
0
30 Sep 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement
  Learning
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
Tankred Saanum
Eric Schulz
26
1
0
29 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
38
6
0
22 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in
  visual Reinforcement Learning
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin
Adil Zouitine
Mehdi Zouitine
Emmanuel Rachelson
36
30
0
16 Sep 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble
  of Deep Networks
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang
Yaosheng Xu
Stephen Marcus McAleer
Dailin Hu
Alexander Ihler
Pieter Abbeel
Roy Fox
OOD
24
16
0
16 Sep 2022
Anticipating the Unseen Discrepancy for Vision and Language Navigation
Anticipating the Unseen Discrepancy for Vision and Language Navigation
Yujie Lu
Huiliang Zhang
Ping Nie
Weixi Feng
Wenda Xu
Qing Guo
William Yang Wang
35
1
0
10 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
35
33
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
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning
  in Online Reinforcement Learning
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu
Lingxiao Wang
Chenjia Bai
Zhuoran Yang
Zhaoran Wang
SSL
OffRL
26
32
0
29 Jul 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
39
10
0
27 Jul 2022
Learning Deformable Object Manipulation from Expert Demonstrations
Learning Deformable Object Manipulation from Expert Demonstrations
G. Salhotra
Isabella Liu
Marcus Dominguez-Kuhne
Gaurav Sukhatme
34
27
0
20 Jul 2022
Bootstrap State Representation using Style Transfer for Better
  Generalization in Deep Reinforcement Learning
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning
Md Masudur Rahman
Yexiang Xue
OffRL
34
4
0
15 Jul 2022
USHER: Unbiased Sampling for Hindsight Experience Replay
USHER: Unbiased Sampling for Hindsight Experience Replay
Liam Schramm
Yunfu Deng
Edgar Granados
Abdeslam Boularias
9
4
0
03 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin
Philip J. Ball
Steve Roberts
Oya Celiktutan
30
36
0
03 Jul 2022
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized
  Representations in Reinforcement Learning for Mapless Navigation of Unmanned
  Aerial Vehicles
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles
J. C. Jesus
V. A. Kich
A. H. Kolling
Ricardo B. Grando
R. S. Guerra
P. Drews
SSL
58
18
0
30 Jun 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
146
0
28 Jun 2022
MaskViT: Masked Visual Pre-Training for Video Prediction
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta
Stephen Tian
Yunzhi Zhang
Jiajun Wu
Roberto Martín-Martín
Li Fei-Fei
112
111
0
23 Jun 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang
Hanye Zhao
Xufang Luo
Kan Ren
Weinan Zhang
Dongsheng Li
OffRL
16
37
0
17 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
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
28
139
0
15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
27
31
0
10 Jun 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
38
6
0
07 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
21
14
0
06 Jun 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement
  Learning
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
Byungchan Ko
Jungseul Ok
OnRL
27
5
0
01 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning
  Framework
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Dian Wang
Colin Kohler
Xu Zhu
Ming Jia
Robert W. Platt
27
9
0
28 May 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
Learning Task-relevant Representations for Generalization via
  Characteristic Functions of Reward Sequence Distributions
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions
Rui Yang
Jie Wang
Zijie Geng
Mingxuan Ye
Shuiwang Ji
Bin Li
Fengli Wu
OOD
31
20
0
20 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
Aligning Robot Representations with Humans
Aligning Robot Representations with Humans
Andreea Bobu
Andi Peng
27
0
0
15 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
26
12
0
02 May 2022
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