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Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
  Survey

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

24 September 2020
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
    OffRL
ArXivPDFHTML

Papers citing "Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey"

50 / 109 papers shown
Title
Probabilistic Adaptation of Text-to-Video Models
Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang
Yilun Du
Bo Dai
Dale Schuurmans
J. Tenenbaum
Pieter Abbeel
VGen
DiffM
43
24
0
02 Jun 2023
A Mini Review on the utilization of Reinforcement Learning with OPC UA
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler
M. Uray
Stefan Huber
28
1
0
24 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust
  Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose H. Blanchet
Miao Lu
Tong Zhang
Han Zhong
OffRL
45
30
0
16 May 2023
Bayesian Safety Validation for Failure Probability Estimation of
  Black-Box Systems
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Robert J. Moss
Mykel J. Kochenderfer
Maxime Gariel
Arthur Dubois
27
3
0
03 May 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Hoang-Giang Cao
Weihao Zeng
I-Chen Wu
35
3
0
18 Apr 2023
Real-Time Model-Free Deep Reinforcement Learning for Force Control of a
  Series Elastic Actuator
Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator
Ruturaj Sambhus
Aydin Gokce
Stephen Welch
Connor W. Herron
Alexander Leonessa
34
0
0
11 Apr 2023
AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
31
11
0
07 Apr 2023
Tracker: Model-based Reinforcement Learning for Tracking Control of
  Human Finger Attached with Thin McKibben Muscles
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles
Daichi Saito
Eri Nagatomo
Jefferson Pardomuan
Hideki Koike
19
0
0
01 Apr 2023
Domain Randomization for Robust, Affordable and Effective Closed-loop
  Control of Soft Robots
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Gabriele Tiboni
Andrea Protopapa
Tatiana Tommasi
Giuseppe Averta
22
5
0
07 Mar 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Hsuan-Kung Yang
Tsung-Chih Chiang
Tingxin Liu
Chun-Wei Huang
Jou-Min Liu
Tsu-Ching Hsiao
Chun-Yi Lee
28
1
0
05 Mar 2023
Object Reconfiguration with Simulation-Derived Feasible Actions
Object Reconfiguration with Simulation-Derived Feasible Actions
Yiyuan Lee
Wil Thomason
Zachary Kingston
Lydia E. Kavraki
AI4CE
22
3
0
27 Feb 2023
Variational Integrators and Graph-Based Solvers for Multibody Dynamics
  in Maximal Coordinates
Variational Integrators and Graph-Based Solvers for Multibody Dynamics in Maximal Coordinates
Jan Brüdigam
Stefan Sosnowski
Zachary Manchester
Sandra Hirche
AI4CE
18
3
0
12 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper
  Proxy
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
Blake E. Woodworth
Konstantin Mishchenko
Francis R. Bach
42
6
0
07 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh V. Chawla
21
28
0
01 Feb 2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer
  Learning
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Lei Zhang
Kaixin Bai
Zhaopeng Chen
Yunlei Shi
Jianwei Zhang
15
4
0
28 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Efficient data transport over multimode light-pipes with Megapixel
  images using differentiable ray tracing and Machine-learning
Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning
Joowon Lim
Jannes Gladrow
Douglas J Kelly
G. O'Shea
Govert Verkes
Ioan A. Stefanovici
Sebastian Nowozin
B. Thomsen
27
2
0
16 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial
  Application Case on Autonomous Disassembly
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu
Xuelei Bi
Julius Pfrommer
Alexander Cebulla
Simon Mangold
Jürgen Beyerer
3DPC
27
20
0
12 Jan 2023
Task-sequencing Simulator: Integrated Machine Learning to Execution
  Simulation for Robot Manipulation
Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation
Kazuhiro Sasabuchi
Daichi Saito
Atsushi Kanehira
Naoki Wake
Jun Takamatsu
Katsushi Ikeuchi
28
7
0
03 Jan 2023
On Realization of Intelligent Decision-Making in the Real World: A
  Foundation Decision Model Perspective
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Ying Wen
Bo Liu
M. Zhou
Shufang Hou
Zhe Cao
Chenyang Le
Jingxiao Chen
Zheng Tian
Weinan Zhang
Jun Wang
AI4CE
26
10
0
24 Dec 2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Hang Lai
Weinan Zhang
Xialin He
Chen Yu
Zheng Tian
Yong Yu
Jun Wang
24
20
0
15 Dec 2022
Accelerating Self-Imitation Learning from Demonstrations via Policy
  Constraints and Q-Ensemble
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
Chong Li
OffRL
32
0
0
07 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
35
6
0
27 Nov 2022
Practice Makes Perfect: an iterative approach to achieve precise
  tracking for legged robots
Practice Makes Perfect: an iterative approach to achieve precise tracking for legged robots
Jingli Cheng
Yasser G. Alqaham
A. Sanyal
Zhenyu Gan
30
4
0
22 Nov 2022
LibSignal: An Open Library for Traffic Signal Control
LibSignal: An Open Library for Traffic Signal Control
Hao Mei
Xiaoliang Lei
Longchao Da
Bin Shi
Hua Wei
AI4TS
24
18
0
19 Nov 2022
Learning Tool Morphology for Contact-Rich Manipulation Tasks with
  Differentiable Simulation
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
Mengxi Li
Rika Antonova
Dorsa Sadigh
Jeannette Bohg
13
4
0
04 Nov 2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved
  Human-AI Collaboration
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
35
13
0
03 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement
  Learning
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning
Tom He
Jasmina Gajcin
Ivana Dusparic
CML
8
5
0
02 Nov 2022
Design of experiments for the calibration of history-dependent models
  via deep reinforcement learning and an enhanced Kalman filter
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter
Ruben Villarreal
Nikolaos N. Vlassis
Nhon N. Phan
Tommie A. Catanach
Reese E. Jones
N. Trask
S. Kramer
WaiChing Sun
OffRL
30
11
0
27 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary
  Reinforcement Learning towards Asynchronous Commercial Games
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
34
5
0
21 Sep 2022
Real-time Digital Double Framework to Predict Collapsible Terrains for
  Legged Robots
Real-time Digital Double Framework to Predict Collapsible Terrains for Legged Robots
Garen Haddeler
Hari P. Palanivelu
Yung Chuen Ng
Fabien Colonnier
A. H. Adiwahono
Zhibin Li
C. Chew
Meng Yee Michael Chuah
Chuah
31
2
0
20 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
30
5
0
07 Sep 2022
AG2U -- Autonomous Grading Under Uncertainties
AG2U -- Autonomous Grading Under Uncertainties
Yakov Miron
Yuval Goldfracht
Chana Ross
Dotan Di Castro
Itzik Klein
38
3
0
04 Aug 2022
Domain Adapting Deep Reinforcement Learning for Real-world Speech
  Emotion Recognition
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition
Thejan Rajapakshe
R. Rana
Sara Khalifa
Bjorn W. Schuller
17
0
0
07 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
The Real Deal: A Review of Challenges and Opportunities in Moving
  Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
35
8
0
23 Jun 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based
  Programming
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
Davide Corsi
Raz Yerushalmi
Guy Amir
Alessandro Farinelli
D. Harel
Guy Katz
27
19
0
20 Jun 2022
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Changan Chen
Carl Schissler
Sanchit Garg
Philip Kobernik
Alexander Clegg
P. Calamia
Dhruv Batra
Philip Robinson
Kristen Grauman
3DGS
36
80
0
16 Jun 2022
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement
  Learning for Robotic Manipulation Tasks
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Josip Josifovski
M. Malmir
Noah Klarmann
B. L. Žagar
Nicolás Navarro-Guerrero
Alois C. Knoll
33
17
0
13 Jun 2022
Sim2real for Reinforcement Learning Driven Next Generation Networks
Sim2real for Reinforcement Learning Driven Next Generation Networks
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Hakan Erdol
A. Ahmad
...
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
22
3
0
08 Jun 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
35
23
0
15 May 2022
Offline Reinforcement Learning for Safer Blood Glucose Control in People
  with Type 1 Diabetes
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Harry Emerson
Matt Guy
Ryan McConville
OffRL
32
46
0
07 Apr 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
15
7
0
16 Mar 2022
All You Need is LUV: Unsupervised Collection of Labeled Images using
  Invisible UV Fluorescent Indicators
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators
Brijen Thananjeyan
J. Kerr
Huang Huang
Joseph E. Gonzalez
Ken Goldberg
34
9
0
09 Mar 2022
Analyzing General-Purpose Deep-Learning Detection and Segmentation
  Models with Images from a Lidar as a Camera Sensor
Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor
Xianjia Yu
Sahar Salimpour
Jorge Peña Queralta
Tomi Westerlund
29
11
0
08 Mar 2022
Dojo: A Differentiable Physics Engine for Robotics
Dojo: A Differentiable Physics Engine for Robotics
Taylor A. Howell
Simon Le Cleac'h
Jan Brüdigam
J. Zico Kolter
Mac Schwager
Zachary Manchester
27
34
0
02 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
36
9
0
23 Feb 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
85
37
0
19 Feb 2022
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