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. 2005.07695
  4. Cited By
How to Close Sim-Real Gap? Transfer with Segmentation!

How to Close Sim-Real Gap? Transfer with Segmentation!

14 May 2020
Mengyuan Yan
Qingyun Sun
I. Frosio
Stephen Tyree
Jan Kautz
ArXivPDFHTML

Papers citing "How to Close Sim-Real Gap? Transfer with Segmentation!"

4 / 4 papers shown
Title
Transfer learning from synthetic to real images using variational
  autoencoders for robotic applications
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
Tadanobu Inoue
Subhajit Chaudhury
Giovanni De Magistris
Sakyasingha Dasgupta
35
19
0
20 Sep 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
I. Popov
N. Heess
Timothy Lillicrap
Roland Hafner
Gabriel Barth-Maron
Matej Vecerík
Thomas Lampe
Yuval Tassa
Tom Erez
Martin Riedmiller
OffRL
65
264
0
10 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
184
2,948
0
20 Mar 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
225
13,174
0
09 Sep 2015
1