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Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on
  Real-World Robots

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

10 December 2021
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
ArXivPDFHTML

Papers citing "Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots"

3 / 3 papers shown
Title
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
Karol Arndt
Murtaza Hazara
Ali Ghadirzadeh
Ville Kyrki
99
103
0
16 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
1