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Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

23 November 2015
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
    OOD
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Papers citing "Adapting Deep Visuomotor Representations with Weak Pairwise Constraints"

50 / 79 papers shown
Title
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control
Zherui Huang
Yicheng Liu
Chumeng Liang
Guanjie Zheng
33
0
0
07 Jan 2025
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
Sim-to-Real Deep Reinforcement Learning with Manipulators for
  Pick-and-place
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place
Wenxing Liu
Hanlin Niu
R. Skilton
Joaquin Carrasco
27
1
0
17 Sep 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust
  Sim2Real Policy Transfer in Robot Control
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
M. Malmir
Josip Josifovski
Noah Klarmann
Alois C. Knoll
26
2
0
15 Jun 2023
Online Prototype Alignment for Few-shot Policy Transfer
Online Prototype Alignment for Few-shot Policy Transfer
Qi Yi
Rui Zhang
Shaohui Peng
Jiaming Guo
Yunkai Gao
...
Xingui Hu
Zidong Du
Xishan Zhang
Qi Guo
Yunji Chen
OffRL
19
4
0
12 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
18
4
0
31 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital
  Twins, and Parallel Intelligence
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
Xuemin Hu
Shen Li
Ting Huang
Bo Tang
Rouxing Huai
Long Chen
46
65
0
02 May 2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with
  Multi-Fingered Anthropomorphic Hand
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Yongkang Luo
Wanyi Li
Peng Wang
Haonan Duan
Wei Wei
Jia sun
30
1
0
19 Apr 2023
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal
  Dataset for Hand Instance Segmentation in Cluttered Industrial Environments
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments
Stefan Grushko
Alevs Vysocký
J. Chlebek
Petr Prokop
26
2
0
12 Apr 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
20
2
0
03 Feb 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in
  Reinforcement Learning
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
13
0
0
31 Jan 2023
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
26
68
0
12 Dec 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
20
5
0
23 Nov 2022
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
44
276
0
28 Jun 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
  and Generative Models
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Marten Bjorkman
OffRL
22
1
0
18 Apr 2022
Weakly Supervised Correspondence Learning
Weakly Supervised Correspondence Learning
Zihan Wang
Zhangjie Cao
Yilun Hao
Dorsa Sadigh
SSL
13
9
0
02 Mar 2022
Learning from Imperfect Demonstrations via Adversarial Confidence
  Transfer
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
Zhangjie Cao
Zihan Wang
Dorsa Sadigh
AAML
24
7
0
07 Feb 2022
Off Environment Evaluation Using Convex Risk Minimization
Off Environment Evaluation Using Convex Risk Minimization
Pulkit Katdare
Shuijing Liu
Katherine Driggs-Campbell
11
2
0
21 Dec 2021
On Assessing the Usefulness of Proxy Domains for Developing and
  Evaluating Embodied Agents
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
Anthony Courchesne
A. Censi
Liam Paull
10
1
0
29 Sep 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
Theo Jaunet
G. Bono
Romain Vuillemot
Christian Wolf
17
2
0
24 Sep 2021
OHPL: One-shot Hand-eye Policy Learner
OHPL: One-shot Hand-eye Policy Learner
Changjae Oh
Yik Lung Pang
Andrea Cavallaro
23
0
0
06 Aug 2021
Domain Adaptive Egocentric Person Re-identification
Domain Adaptive Egocentric Person Re-identification
Ankit Choudhary
Deepak Mishra
Arnab Karmakar
EgoV
14
2
0
08 Mar 2021
Learning Deep Features for Shape Correspondence with Domain Invariance
Learning Deep Features for Shape Correspondence with Domain Invariance
Praful Agrawal
Ross T. Whitaker
Shireen Elhabian
OOD
15
3
0
21 Feb 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State
  Representation
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Jinwei Xing
Takashi Nagata
Kexin Chen
Xinyun Zou
Emre Neftci
J. Krichmar
OOD
26
43
0
10 Feb 2021
Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic
  Arms
Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms
D. Chakraborty
Mukesh Sharma
Bhaskar Vijay
14
0
0
27 Jan 2021
Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
10
62
0
17 Dec 2020
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
9
105
0
12 Nov 2020
Localising In Complex Scenes Using Balanced Adversarial Adaptation
Localising In Complex Scenes Using Balanced Adversarial Adaptation
Gil Avraham
Yan Zuo
Tom Drummond
7
0
0
09 Nov 2020
Unsupervised Domain Adaptation for Visual Navigation
Unsupervised Domain Adaptation for Visual Navigation
Shangda Li
Devendra Singh Chaplot
Yao-Hung Hubert Tsai
Yue Wu
Louis-Philippe Morency
Ruslan Salakhutdinov
EgoV
19
9
0
27 Oct 2020
Understanding Unnatural Questions Improves Reasoning over Text
Understanding Unnatural Questions Improves Reasoning over Text
Xiao-Yu Guo
Yuan-Fang Li
Gholamreza Haffari
LRM
13
2
0
19 Oct 2020
Deep Adversarial Transition Learning using Cross-Grafted Generative
  Stacks
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou
Xuejie Ding
Stephen Cranefield
Jeremiah D. Deng
GAN
17
7
0
25 Sep 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
28
1
0
29 Jul 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
34
9
0
26 Jul 2020
Unseen Object Instance Segmentation for Robotic Environments
Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie
Yu Xiang
Arsalan Mousavian
D. Fox
18
131
0
16 Jul 2020
Provably Efficient Model-based Policy Adaptation
Provably Efficient Model-based Policy Adaptation
Yuda Song
Aditi Mavalankar
Wen Sun
Sicun Gao
TTA
OffRL
17
9
0
14 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain
  Confusion
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion
Josh Roy
G. Konidaris
6
16
0
04 Jun 2020
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
47
171
0
27 Apr 2020
Pontryagin Differentiable Programming: An End-to-End Learning and
  Control Framework
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Wanxin Jin
Zhaoran Wang
Zhuoran Yang
Shaoshuai Mou
20
77
0
30 Dec 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor
  Control
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Patric Jensfelt
6
13
0
17 Sep 2019
Generalization in Transfer Learning
Generalization in Transfer Learning
S. E. Ada
Emre Ugur
H. L. Akin
11
17
0
03 Sep 2019
Few-Shot Meta-Denoising
Few-Shot Meta-Denoising
Leslie Casas
Attila Klimmek
G. Carneiro
Nassir Navab
Vasileios Belagiannis
13
5
0
31 Jul 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen
  Object Instance Segmentation
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie
Yu Xiang
Arsalan Mousavian
D. Fox
8
92
0
30 Jul 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
16
444
0
18 Dec 2018
Learning to Drive from Simulation without Real World Labels
Learning to Drive from Simulation without Real World Labels
Alex Bewley
J. Rigley
Yuxuan Liu
Jeffrey Hawke
Richard Shen
Vinh-Dieu Lam
Alex Kendall
OffRL
20
106
0
10 Dec 2018
CRAVES: Controlling Robotic Arm with a Vision-based Economic System
CRAVES: Controlling Robotic Arm with a Vision-based Economic System
Yiming Zuo
Weichao Qiu
Lingxi Xie
Fangwei Zhong
Yizhou Wang
Alan Yuille
9
2
0
03 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation
  Approach for Person Re-identification
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
Yang Fu
Yunchao Wei
Guanshuo Wang
Xi Zhou
Humphrey Shi
Thomas Huang
11
4
0
26 Nov 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of
  Navigation Policies
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj
Zihan Wang
Yoshua Bengio
Liam Paull
14
40
0
11 Oct 2018
Adapting control policies from simulation to reality using a pairwise
  loss
Adapting control policies from simulation to reality using a pairwise loss
Ulrich Viereck
Xingchao Peng
Kate Saenko
Robert W. Platt
4
0
0
27 Jul 2018
Learning Real-World Robot Policies by Dreaming
Learning Real-World Robot Policies by Dreaming
A. Piergiovanni
Alan Wu
Michael S. Ryoo
16
31
0
20 May 2018
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