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. 1904.04762
  4. Cited By
Active Domain Randomization

Active Domain Randomization

9 April 2019
Bhairav Mehta
Manfred Diaz
Florian Golemo
C. Pal
Liam Paull
ArXivPDFHTML

Papers citing "Active Domain Randomization"

50 / 59 papers shown
Title
HuB: Learning Extreme Humanoid Balance
HuB: Learning Extreme Humanoid Balance
Tong Zhang
Boyuan Zheng
Ruiqian Nai
Yingdong Hu
Yen-Jen Wang
...
Fanqi Lin
Jiongye Li
Chuye Hong
K. Sreenath
Yang Gao
28
0
0
12 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Luu Anh Tuan
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
90
0
0
27 Apr 2025
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
Wenxuan Li
Hang Zhao
Zhiyuan Yu
Yu Du
Qin Zou
Ruizhen Hu
K. Xu
SSL
78
1
0
23 Apr 2025
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Jiyuan Shi
Xinzhe Liu
Dewei Wang
Ouyang Lu
Sören Schwertfeger
Fuchun Sun
Chenjia Bai
X. Li
47
0
0
19 Apr 2025
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri
Z. L. Jiang
L. Chen
Soroush Nasiriany
Yuqi Xie
...
Scott Reed
Ken Goldberg
Ajay Mandlekar
Linxi Fan
Yuke Zhu
59
5
0
31 Mar 2025
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
So Kuroki
Jiaxian Guo
T. Matsushima
Takuya Okubo
Masato Kobayashi
Yuya Ikeda
Ryosuke Takanami
Paul D. Yoo
Yutaka Matsuo
Yusuke Iwasawa
57
0
0
28 Jan 2025
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
So Kuroki
Jiaxian Guo
T. Matsushima
Takuya Okubo
Masato Kobayashi
Yuya Ikeda
Ryosuke Takanami
Paul D. Yoo
Yutaka Matsuo
Yusuke Iwasawa
AI4CE
40
1
0
28 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan
Yutong He
Fahim Tajwar
Wen-Tse Chen
Ruslan Salakhutdinov
Jeff Schneider
OffRL
AI4CE
99
0
0
22 Jan 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation
Attribute-Based Robotic Grasping with Data-Efficient Adaptation
Yang Yang
Houjian Yu
Xibai Lou
Yuanhao Liu
Changhyun Choi
52
8
0
04 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
75
1
0
03 Jan 2025
Holistic Construction Automation with Modular Robots: From High-Level Task Specification to Execution
Holistic Construction Automation with Modular Robots: From High-Level Task Specification to Execution
Jonathan Külz
Michael Terzer
Marco Magri
Andrea Giusti
Matthias Althoff
21
1
0
31 Dec 2024
Robust Contact-rich Manipulation through Implicit Motor Adaptation
Robust Contact-rich Manipulation through Implicit Motor Adaptation
Teng Xue
Amirreza Razmjoo
Suhan Shetty
Sylvain Calinon
102
1
0
16 Dec 2024
Improving Soft-Capture Phase Success in Space Debris Removal Missions:
  Leveraging Deep Reinforcement Learning and Tactile Feedback
Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile Feedback
Bahador Beigomi
Zheng H. Zhu
32
0
0
18 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
Haoyi Niu
Tianying Ji
Bingqi Liu
Haocheng Zhao
Xiangyu Zhu
Jianying Zheng
Pengfei Huang
Guyue Zhou
Jianming Hu
Xianyuan Zhan
OffRL
OnRL
AI4CE
27
6
0
22 Sep 2023
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Ricardo Garcia Pinel
Robin Strudel
Shizhe Chen
Etienne Arlaud
Ivan Laptev
Cordelia Schmid
OffRL
28
4
0
28 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning
On the Efficacy of 3D Point Cloud Reinforcement Learning
Z. Ling
Yuan Yao
Xuanlin Li
H. Su
3DPC
31
13
0
11 Jun 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning
Get Back Here: Robust Imitation by Return-to-Distribution Planning
Geoffrey Cideron
B. Tabanpour
Sebastian Curi
Sertan Girgin
Léonard Hussenot
Gabriel Dulac-Arnold
M. Geist
Olivier Pietquin
Robert Dadashi
OOD
84
2
0
02 May 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with
  Sim2Real Policy Learning
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning
Haoran Li
Shasha Liu
Mingjun Ma
Guangzheng Hu
Yaran Chen
Dong Zhao
27
3
0
07 Feb 2023
Generalization through Diversity: Improving Unsupervised Environment
  Design
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li
Pradeep Varakantham
Dexun Li
25
7
0
19 Jan 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
Kai Hsu
D. Nguyen
J. F. Fisac
23
30
0
06 Dec 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness
  to Model Misspecification
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
24
8
0
07 Nov 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
41
24
0
18 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
27
3
0
24 Sep 2022
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep
  Reinforcement Learning
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George
Alison Bartsch
A. Farimani
OffRL
6
5
0
22 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse
  Data using a Learning-based Unscented Kalman Filter
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter
Alexander Schperberg
Yusuke Tanaka
Feng Xu
Marcel Menner
Dennis W. Hong
20
5
0
07 Sep 2022
Robust Reinforcement Learning in Continuous Control Tasks with
  Uncertainty Set Regularization
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang
Jianhong Wang
Joschka Boedecker
36
3
0
05 Jul 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric
  Manipulation Policies
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Satvik Sharma
Ellen R. Novoseller
Vainavi Viswanath
Zaynah Javed
R. Parikh
Ryan Hoque
Ashwin Balakrishna
Daniel S. Brown
Ken Goldberg
21
8
0
02 Jul 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with
  Application to Sim2Real Pneumonia Lesion Detection
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection
Takahiro Suzuki
S. Hanaoka
Issei Sato
OOD
MedIm
26
1
0
29 Apr 2022
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects
Priya Sundaresan
Rika Antonova
Jeannette Bohg
3DPC
39
34
0
07 Apr 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
117
0
02 Mar 2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang
A. Irpan
Mohi Khansari
Daniel Kappler
F. Ebert
Corey Lynch
Sergey Levine
Chelsea Finn
LM&Ro
72
518
0
04 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement
  Learning
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur
Natasha Jaques
Yingjie Miao
Jongwook Choi
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
28
43
0
21 Jan 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and
  Generalization Guarantees
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
26
41
0
20 Jan 2022
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 Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
Rika Antonova
Jingyun Yang
Priya Sundaresan
D. Fox
Fabio Ramos
Jeannette Bohg
20
18
0
09 Dec 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
25
5
0
05 Nov 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from
  Small Datasets using Background Randomization
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri
Dario Mantegazza
Elia Cereda
Nicky Zimmerman
L. Gambardella
Daniele Palossi
Jérôme Guzzi
Alessandro Giusti
32
0
0
27 Oct 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
129
95
0
06 Oct 2021
Learning of Parameters in Behavior Trees for Movement Skills
Learning of Parameters in Behavior Trees for Movement Skills
Matthias Mayr
Konstantinos Chatzilygeroudis
Faseeh Ahmad
Luigi Nardi
Volker Krueger
OffRL
8
20
0
27 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
21
2
0
24 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel
  Differentiable Simulation
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden
Chris Denniston
David Millard
Fabio Ramos
Gaurav Sukhatme
27
21
0
18 Sep 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain
  Randomization Reinforcement Learning
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
Haoyi Niu
Jianming Hu
Zheyu Cui
Yi Zhang
36
16
0
25 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment
  Generation
Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren
Anirudha Majumdar
OOD
96
15
0
13 Jul 2021
Learning from scarce information: using synthetic data to classify Roman
  fine ware pottery
Learning from scarce information: using synthetic data to classify Roman fine ware pottery
Santos J. Núñez Jareño
Daniël P. van Helden
Evgeny M. Mirkes
I. Tyukin
Penelope Allison
37
5
0
03 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse
  Tasks
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
46
6
0
26 Jun 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
21
0
17 Mar 2021
12
Next