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1610.04286
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Sim-to-Real Robot Learning from Pixels with Progressive Nets
Conference on Robot Learning (CoRL), 2016
13 October 2016
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
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Papers citing
"Sim-to-Real Robot Learning from Pixels with Progressive Nets"
50 / 268 papers shown
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Saminda Abeyruwan
L. Graesser
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Alex Bewley
Deepali Jain
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Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
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399
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28 Jun 2022
A Survey on Model-based Reinforcement Learning
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Tian Xu
Hang Lai
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Yang Yu
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337
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19 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
International Conference on Machine Learning (ICML), 2022
Yao Mu
Shoufa Chen
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Jianyu Chen
Runjian Chen
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ViT
212
9
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17 Jun 2022
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
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M. Malmir
Noah Klarmann
B. L. Žagar
Nicolás Navarro-Guerrero
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168
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13 Jun 2022
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
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Chunlin Chen
D. Dong
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136
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22 May 2022
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104
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Hongxiang Yu
Kechun Xu
Tong Yang
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Haojian Lu
R. Xiong
Yue Wang
136
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0
09 May 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning
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Erfan Miahi
Martha White
Marlos C. Machado
Zaheer Abbas
Raksha Kumaraswamy
Vincent Liu
Adam White
303
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30 Mar 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
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J. Li
Zhaolin Ren
Dong Yan
Hang Su
Jun Zhu
298
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13 Mar 2022
On-Robot Learning With Equivariant Models
Conference on Robot Learning (CoRL), 2022
Dian Wang
Ming Jia
Xu Zhu
Robin Walters
Robert Platt
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463
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09 Mar 2022
Malleable Agents for Re-Configurable Robotic Manipulators
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Gurudutt Hosangadi
352
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04 Feb 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories
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Olivia Watkins
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Trevor Darrell
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164
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29 Jan 2022
Demystifying Reinforcement Learning in Time-Varying Systems
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Malte Schwarzkopf
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313
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Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
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Vibhavari Dasagi
Jesse Haviland
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Michael Milford
Niko Sünderhauf
149
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Best Arm Identification under Additive Transfer Bandits
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Aarti Singh
129
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Improved Reinforcement Learning Pushing Policies via Heuristic Rules
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Iason Sarantopoulos
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Z. Doulgeri
167
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Nonprehensile Riemannian Motion Predictive Control
International Symposium on Experimental Robotics (ISER), 2021
Hamid Izadinia
Byron Boots
S. M. Seitz
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Deep Network Approximation in Terms of Intrinsic Parameters
International Conference on Machine Learning (ICML), 2021
Zuowei Shen
Haizhao Yang
Shijun Zhang
190
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15 Nov 2021
Robot Learning from Randomized Simulations: A Review
Frontiers in Robotics and AI (Front. Robot. AI), 2021
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
311
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01 Nov 2021
Can Q-Learning be Improved with Advice?
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Noah Golowich
Ankur Moitra
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284
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25 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters
K.R. Zentner
Ryan Julian
Ujjwal Puri
Yulun Zhang
Gaurav Sukhatme
CLL
157
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0
19 Oct 2021
GrowSpace: Learning How to Shape Plants
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Ionelia Buzatu
Manuel Del Verme
M. Lefsrud
Florian Golemo
A. Durand
169
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0
15 Oct 2021
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen
Jiachen Hu
Chi Jin
Lihong Li
Liwei Wang
390
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07 Oct 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
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G. Bono
Romain Vuillemot
Christian Wolf
158
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24 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
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Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
452
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31 Aug 2021
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Atakan Dag
A. Angleraud
Wenyan Yang
N. Strokina
R. Pieters
Minna Lanz
Joni-Kristian Kamarainen
142
0
0
17 Aug 2021
OHPL: One-shot Hand-eye Policy Learner
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Changjae Oh
Yik Lung Pang
Andrea Cavallaro
115
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Parallelized Reverse Curriculum Generation
Zih-Yun Chiu
Yi-Lin Tuan
Hung-yi Lee
Li-Chen Fu
146
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The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi
Frederik Trauble
M. Wuthrich
Felix Widmaier
Peter V. Gehler
Ole Winther
Francesco Locatello
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
209
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12 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Conference on Robot Learning (CoRL), 2021
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
226
13
0
10 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
International Conference on Intelligent Transportation Systems (ITSC), 2021
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
117
6
0
09 Jul 2021
Deep Learning for Embodied Vision Navigation: A Survey
Fengda Zhu
Yi Zhu
Vincent CS Lee
Xiaodan Liang
Xiaojun Chang
EgoV
LM&Ro
485
0
0
07 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation
Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Nayeon Lee
SSL
236
100
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01 Jul 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
Grace Zhang
Li Zhong
Youngwoon Lee
Joseph J. Lim
182
16
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01 Jul 2021
Active Learning in Robotics: A Review of Control Principles
Mechatronics (Oxford) (MO), 2021
Annalisa T. Taylor
Thomas A. Berrueta
Todd Murphey
258
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Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
Katie Kang
G. Kahn
Sergey Levine
233
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0
24 Jun 2021
Pretrained Encoders are All You Need
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
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190
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09 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
International Conference on Machine Learning (ICML), 2021
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Laura M. Smith
Pieter Abbeel
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Pre-training of Deep RL Agents for Improved Learning under Domain Randomization
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Max Argus
Lukás Hermann
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96
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REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
IEEE Robotics and Automation Letters (RA-L), 2021
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Deyu Yang
Han Wang
Binglei Zhao
Xuguang Lan
Jishiyu Ding
Nanning Zheng
274
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A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control
International Conference on Pattern Recognition (ICPR), 2021
Zahra Gharaee
Karl Holmquist
Linbo He
Michael Felsberg
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104
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08 Apr 2021
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
IEEE Robotics and Automation Letters (RA-L), 2021
Ya-Yen Tsai
Hui Xu
Zihan Ding
Chong Zhang
Edward Johns
Bidan Huang
232
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Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
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Yaodong Yang
Jun Luo
Ying Wen
Oliver Slumbers
D. Graves
H. Ammar
Jun Wang
Matthew E. Taylor
172
39
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15 Feb 2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Piotr Kozakowski
Lukasz Kaiser
Henryk Michalewski
Afroz Mohiuddin
Katarzyna Kañska
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169
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Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms
SN Computer Science (SN Comput. Sci.), 2021
D. Chakraborty
Mukesh Sharma
Bhaskar Vijay
71
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27 Jan 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
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Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
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280
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