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. 1909.07745
  4. Cited By
Adversarial Feature Training for Generalizable Robotic Visuomotor
  Control

Adversarial Feature Training for Generalizable Robotic Visuomotor Control

17 September 2019
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Patric Jensfelt
ArXivPDFHTML

Papers citing "Adversarial Feature Training for Generalizable Robotic Visuomotor Control"

6 / 6 papers shown
Title
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen
Xue-Yong Li
Sheng Guo
Xiang Yao Ng
Marcelo H ANG Jr
14
4
0
06 Jun 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
  and Generative Models
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Marten Bjorkman
OffRL
22
1
0
18 Apr 2022
Adversarial Training is Not Ready for Robot Learning
Adversarial Training is Not Ready for Robot Learning
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
38
34
0
15 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
31
41
0
05 Mar 2021
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
39
9
0
26 Jul 2020
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
1