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Residual Reactive Navigation: Combining Classical and Learned Navigation
  Strategies For Deployment in Unknown Environments

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments

24 September 2019
Krishan Rana
Ben Talbot
Vibhavari Dasagi
Michael Milford
Niko Sünderhauf
ArXivPDFHTML

Papers citing "Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments"

5 / 5 papers shown
Title
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
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
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
32
1
0
10 Dec 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
24
31
0
21 Jul 2021
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
276
5,675
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
285
9,145
0
06 Jun 2015
1