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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
v1v2v3 (latest)

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

18 December 2018
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
ArXiv (abs)PDFHTML

Papers citing "Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks"

15 / 215 papers shown
Sim2real transfer learning for 3D human pose estimation: motion to the
  rescue
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
Carl Doersch
Andrew Zisserman
3DH
191
163
0
04 Jul 2019
PyRep: Bringing V-REP to Deep Robot Learning
PyRep: Bringing V-REP to Deep Robot Learning
Stephen James
M. Freese
Andrew J. Davison
204
128
0
26 Jun 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep
  Point Cloud Prediction Networks
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan
Mohi Khansari
Jasmine Hsu
Yuanzheng Gong
Yunfei Bai
Soren Pirk
Honglak Lee
3DPC
227
33
0
21 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a
  New Disentanglement Dataset
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement DatasetNeural Information Processing Systems (NeurIPS), 2019
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OODDRL
277
148
0
07 Jun 2019
Off-Policy Evaluation via Off-Policy Classification
Off-Policy Evaluation via Off-Policy ClassificationNeural Information Processing Systems (NeurIPS), 2019
A. Irpan
Kanishka Rao
Konstantinos Bousmalis
Chris Harris
Julian Ibarz
Sergey Levine
OffRL
265
53
0
04 Jun 2019
Learning Robust Options by Conditional Value at Risk Optimization
Learning Robust Options by Conditional Value at Risk OptimizationNeural Information Processing Systems (NeurIPS), 2019
Takuya Hiraoka
Takahisa Imagawa
Tatsuya Mori
Takashi Onishi
Yoshimasa Tsuruoka
328
28
0
22 May 2019
Explorations and Lessons Learned in Building an Autonomous Formula SAE
  Car from Simulations
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from SimulationsInternational Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), 2019
Dean Zadok
Tom Hirshberg
Amir Biran
Kira Radinsky
Ashish Kapoor
199
13
0
15 May 2019
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement
  Planning
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Yann Labbé
Sergey Zagoruyko
Igor Kalevatykh
Ivan Laptev
Justin Carpentier
Mathieu Aubry
Josef Sivic
OCL
230
80
0
23 Apr 2019
How to pick the domain randomization parameters for sim-to-real transfer
  of reinforcement learning policies?
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
Q. Vuong
Sharad Vikram
H. Su
Sicun Gao
Henrik I. Christensen
OOD
165
55
0
28 Mar 2019
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier
  Functions
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions
Xiao Li
C. Belta
135
43
0
23 Mar 2019
Learning to Augment Synthetic Images for Sim2Real Policy Transfer
Learning to Augment Synthetic Images for Sim2Real Policy TransferIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Alexander Pashevich
Robin Strudel
Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
195
53
0
18 Mar 2019
Affordance Learning for End-to-End Visuomotor Robot Control
Affordance Learning for End-to-End Visuomotor Robot Control
Aleksi Hämäläinen
Karol Arndt
Ali Ghadirzadeh
Ville Kyrki
139
50
0
10 Mar 2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered
  Scenes
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Bohan Wu
Iretiayo Akinola
Peter K. Allen
158
36
0
08 Mar 2019
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Rumaisa Azeem
Varun Jain
Chia-Hung Lin
Chris Paxton
Gregory Hager
183
12
0
27 Oct 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trialsIEEE Transactions on robotics (T-RO), 2018
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
428
168
0
06 Jul 2018
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