ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.04309
  4. Cited By
Self-Supervised Policy Adaptation during Deployment

Self-Supervised Policy Adaptation during Deployment

8 July 2020
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
ArXivPDFHTML

Papers citing "Self-Supervised Policy Adaptation during Deployment"

47 / 97 papers shown
Title
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
24
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
35
26
0
10 Oct 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
36
164
0
15 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
D. Meger
Doina Precup
33
18
0
15 Sep 2022
Style-Agnostic Reinforcement Learning
Style-Agnostic Reinforcement Learning
Juyong Lee
Seokjun Ahn
Jaesik Park
17
4
0
31 Aug 2022
Test-Time Adaptation via Conjugate Pseudo-labels
Test-Time Adaptation via Conjugate Pseudo-labels
Sachin Goyal
Mingjie Sun
Aditi Raghunathan
Zico Kolter
OOD
22
95
0
20 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation
  in Reinforcement Learning
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
13
18
0
12 Jul 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
Efficient Scheduling of Data Augmentation for Deep Reinforcement
  Learning
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
Byungchan Ko
Jungseul Ok
OnRL
13
5
0
01 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
18
0
0
31 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
Learning Design and Construction with Varying-Sized Materials via
  Prioritized Memory Resets
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li
Tao Kong
Lei Li
Yi Wu
43
4
0
12 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned
  Contrastive Policy Pretraining
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Qihang Zhang
Zhenghao Peng
Bolei Zhou
SSL
24
37
0
05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp
  Affordance
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Yueh-hua Wu
Jiashun Wang
Xiaolong Wang
21
55
0
05 Apr 2022
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Junho Kim
I. Hwang
Y. Kim
TTA
22
27
0
23 Mar 2022
One After Another: Learning Incremental Skills for a Changing World
One After Another: Learning Incremental Skills for a Changing World
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
CLL
11
13
0
21 Mar 2022
Boost Test-Time Performance with Closed-Loop Inference
Boost Test-Time Performance with Closed-Loop Inference
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Guanghui Xu
Haokun Li
Peilin Zhao
Junzhou Huang
Yaowei Wang
Mingkui Tan
54
3
0
21 Mar 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
36
222
0
09 Mar 2022
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
30
1
0
24 Feb 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for
  Visual Reinforcement Learning
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Zhecheng Yuan
Guozheng Ma
Yao Mu
Bo Xia
Bo Yuan
Xueqian Wang
Ping Luo
Huazhe Xu
25
28
0
21 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum
Robust Reinforcement Learning via Genetic Curriculum
Yeeho Song
J. Schneider
21
9
0
17 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
  Time-Series
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan Ö. Arik
Nathanael Yoder
Tomas Pfister
TTA
AI4TS
11
20
0
04 Feb 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
26
65
0
19 Jan 2022
Towards Disturbance-Free Visual Mobile Manipulation
Towards Disturbance-Free Visual Mobile Manipulation
Tianwei Ni
Kiana Ehsani
Luca Weihs
Jordi Salvador
23
9
0
17 Dec 2021
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
21
9
0
15 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk
Amy Zhang
Edward Grefenstette
Tim Rocktaschel
OffRL
17
155
0
18 Nov 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
20
13
0
27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu
Sungsoo Ahn
Le Song
Jinwoo Shin
OffRL
27
31
0
27 Oct 2021
Self-Supervised Domain Adaptation for Visual Navigation with Global Map
  Consistency
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
E. Lee
Junho Kim
Young Min Kim
TTA
SSL
38
6
0
14 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting
  the Tree
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree
Saurav Kadavath
Samuel Paradis
Brian Yao
VLM
CLIP
OffRL
OnRL
12
1
0
06 Oct 2021
Exploratory State Representation Learning
Exploratory State Representation Learning
Astrid Merckling
Nicolas Perrin-Gilbert
Alexandre Coninx
Stéphane Doncieux
OffRL
35
6
0
28 Sep 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
Test-Time Personalization with a Transformer for Human Pose Estimation
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li
Miao Hao
Zonglin Di
N. B. Gundavarapu
Xiaolong Wang
ViT
25
46
0
05 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
Intrinsically Motivated Self-supervised Learning in Reinforcement
  Learning
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao
Chenzhuang Du
Hang Zhao
Tiejun Li
SSL
21
4
0
26 Jun 2021
Towards Distraction-Robust Active Visual Tracking
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong
Peng Sun
Wenhan Luo
Tingyun Yan
Yizhou Wang
AAML
30
33
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
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay
Judy Hoffman
Roozbeh Mottaghi
Aniruddha Kembhavi
25
55
0
08 Jun 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From
  a Single Offline Environment
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Philip J. Ball
Cong Lu
Jack Parker-Holder
Stephen J. Roberts
OffRL
19
40
0
12 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang
Long Lian
Stella X. Yu
OOD
31
37
0
07 Apr 2021
Domain Adversarial Reinforcement Learning
Domain Adversarial Reinforcement Learning
Bonnie Li
Vincent Franccois-Lavet
T. Doan
Joelle Pineau
OOD
25
22
0
14 Feb 2021
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
137
101
0
07 Jan 2021
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen
Xiaolong Wang
OffRL
4
166
0
26 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation
A Geometric Perspective on Self-Supervised Policy Adaptation
Cristian Bodnar
Karol Hausman
Gabriel Dulac-Arnold
Rico Jonschkowski
SSL
41
5
0
14 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
14
42
0
13 Nov 2020
Transformers for One-Shot Visual Imitation
Transformers for One-Shot Visual Imitation
Sudeep Dasari
Abhinav Gupta
LM&Ro
29
90
0
11 Nov 2020
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
231
809
0
13 Nov 2016
Previous
12