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Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

5 January 2022
Vincent Mai
Kaustubh Mani
Liam Paull
ArXivPDFHTML

Papers citing "Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation"

8 / 8 papers shown
Title
Detecting Unsafe Behavior in Neural Network Imitation Policies for
  Caregiving Robotics
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics
Andrii Tytarenko
OffRL
44
0
0
29 Jul 2024
An Architecture for Deploying Reinforcement Learning in Industrial
  Environments
An Architecture for Deploying Reinforcement Learning in Industrial Environments
Georg Schafer
Reuf Kozlica
S. Wegenkittl
Stefan Huber
OffRL
AI4CE
20
5
0
02 Jun 2023
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Zijian Gao
Yiying Li
Kele Xu
Yuanzhao Zhai
Dawei Feng
Bo Ding
Xinjun Mao
Huaimin Wang
25
0
0
24 Aug 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
137
5
0
21 May 2022
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
202
81
0
16 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
42
143
0
08 Feb 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
5,660
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
9,138
0
06 Jun 2015
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