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Adaptive Temporal-Difference Learning for Policy Evaluation with
  Per-State Uncertainty Estimates

Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates

19 June 2019
Hugo Penedones
C. Riquelme
Damien Vincent
Hartmut Maennel
Timothy A. Mann
André Barreto
Sylvain Gelly
Gergely Neu
    OffRL
ArXivPDFHTML

Papers citing "Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates"

3 / 3 papers shown
Title
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
30
100
0
11 Jan 2022
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
1