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Bayesian Bellman Operators

Bayesian Bellman Operators

9 June 2021
M. Fellows
Kristian Hartikainen
Shimon Whiteson
    OffRL
ArXivPDFHTML

Papers citing "Bayesian Bellman Operators"

7 / 7 papers shown
Title
Diverse Projection Ensembles for Distributional Reinforcement Learning
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz A. Zanger
Wendelin Bohmer
M. Spaan
20
4
0
12 Jun 2023
Accelerating Value Iteration with Anchoring
Accelerating Value Iteration with Anchoring
Jongmin Lee
Ernest K. Ryu
11
7
0
26 May 2023
Model-Based Uncertainty in Value Functions
Model-Based Uncertainty in Value Functions
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
28
13
0
24 Feb 2023
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,630
0
02 Feb 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 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
270
5,660
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
9,136
0
06 Jun 2015
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