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Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning

Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning

8 November 2019
Matthew Benatan
Edward O. Pyzer-Knapp
    BDL
ArXivPDFHTML

Papers citing "Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning"

4 / 4 papers shown
Title
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
41
7
0
30 Oct 2023
Bayesian inference for data-efficient, explainable, and safe robotic
  motion planning: A review
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
38
3
0
16 Jul 2023
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
5,683
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
287
9,156
0
06 Jun 2015
1