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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 / 225 papers shown
Title
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mañdziuk
120
41
0
28 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with
  Transformers for Robotic Manipulation
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir
Nicklas Hansen
Sambaran Ghosal
Mohit Jain
Xiaolong Wang
24
65
0
19 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in
  Data-Efficient Reinforcement Learning
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
30
4
0
18 Jan 2022
AGPNet -- Autonomous Grading Policy Network
AGPNet -- Autonomous Grading Policy Network
Chana Ross
Yakov Miron
Yuval Goldfracht
Dotan Di Castro
37
3
0
20 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
32
34
0
07 Dec 2021
Divergent representations of ethological visual inputs emerge from
  supervised, unsupervised, and reinforcement learning
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W. Lindsay
J. Merel
T. Mrsic-Flogel
M. Sahani
SSL
DRL
20
5
0
03 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah
Peng-Tao Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
29
41
0
04 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
27
92
0
04 Nov 2021
Mastering Atari Games with Limited Data
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
40
222
0
30 Oct 2021
Equivariant $Q$ Learning in Spatial Action Spaces
Equivariant QQQ Learning in Spatial Action Spaces
Dian Wang
Robin G. Walters
Xu Zhu
Robert W. Platt
25
72
0
28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
24
62
0
27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
18
13
0
27 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim
Min Whoo Lee
Yoonsung Kim
Je-hwan Ryu
Minsu Lee
Byoung-Tak Zhang
11
8
0
25 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement
  Learning and Goal-Aware State Information
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li
Xianyuan Zhan
Zixu Xiao
Guyue Zhou
OffRL
OnRL
22
2
0
21 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
LRM
133
4
0
13 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara
Xuezhou Zhang
Wen Sun
OffRL
48
125
0
09 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement
  Learning
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning
Edoardo Cetin
Oya Celiktutan
OffRL
34
16
0
07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
53
31
0
06 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for
  Reinforcement Learning
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
11
2
0
02 Oct 2021
Making Curiosity Explicit in Vision-based RL
Making Curiosity Explicit in Vision-based RL
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
OffRL
20
2
0
28 Sep 2021
Benchmarking Augmentation Methods for Learning Robust Navigation Agents:
  the Winning Entry of the 2021 iGibson Challenge
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge
Naoki Yokoyama
Qian Luo
Dhruv Batra
Sehoon Ha
25
11
0
22 Sep 2021
Socially Supervised Representation Learning: the Role of Subjectivity in
  Learning Efficient Representations
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations
Julius Taylor
Eleni Nisioti
Clément Moulin-Frier
14
0
0
20 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yu Liu
AI4TS
22
15
0
17 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
30
92
0
14 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent
  Environments
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
E. Kargar
Ville Kyrki
ViT
15
12
0
14 Sep 2021
Robust Predictable Control
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
21
44
0
07 Sep 2021
APS: Active Pretraining with Successor Features
APS: Active Pretraining with Successor Features
Hao Liu
Pieter Abbeel
31
118
0
31 Aug 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Jiawei Wang
Zicheng He
Chunwei Song
Changyin Sun
30
54
0
31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
P. S. Castro
Aaron Courville
Marc G. Bellemare
OffRL
36
630
0
30 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person
  Imitation Learning
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang
Michael S. Ryoo
SSL
24
24
0
02 Aug 2021
CoBERL: Contrastive BERT for Reinforcement Learning
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
30
36
0
12 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with
  Cross-Modal Transformers
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang
Minghao Zhang
Nicklas Hansen
Huazhe Xu
Xiaolong Wang
OffRL
13
100
0
08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 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
15
133
0
01 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
43
17
0
30 Jun 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
21
49
0
18 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
15
62
0
17 Jun 2021
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
18
38
0
14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen
Neev Parikh
Omer Gottesman
George Konidaris
BDL
OffRL
26
35
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
51
96
0
17 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya-Qin Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
36
12
0
08 May 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based
  RL
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola
Zizhao Wang
Peter K. Allen
32
2
0
24 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via
  Recursive Classification
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
29
50
0
23 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
20
23
0
15 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
24
104
0
10 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
34
195
0
08 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
66
980
0
03 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future
  Prediction
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Hongyao Tang
Jianye Hao
Guangyong Chen
Pengfei Chen
C. L. P. Chen
Yaodong Yang
Lu Zhang
Wulong Liu
Zhaopeng Meng
OffRL
15
4
0
03 Mar 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
21
120
0
11 Feb 2021
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