Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2101.08477
Cited By
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
21 January 2021
Thesath Nanayakkara
G. Clermont
C. Langmead
D. Swigon
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment"
19 / 19 papers shown
Title
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation
Joo Seung Lee
Malini Mahendra
Anil Aswani
OffRL
93
1
0
10 Jan 2025
Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí
Sebastian Curi
Andreas Krause
OffRL
11
70
0
10 Feb 2021
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Taylor W. Killian
Haoran Zhang
Jayakumar Subramanian
Mehdi Fatemi
Marzyeh Ghassemi
OffRL
25
37
0
23 Nov 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs
Yunlong Song
Elia Kaufmann
Davide Scaramuzza
Peter Dürr
26
124
0
18 Aug 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
J. Caldeira
Brian D. Nord
BDL
UQCV
UD
57
81
0
22 Apr 2020
Reinforcement Learning in Healthcare: A Survey
Chao Yu
Jiming Liu
S. Nemati
LM&MA
OffRL
52
557
0
22 Aug 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs
Luchen Li
Matthieu Komorowski
Aldo A. Faisal
OffRL
87
13
0
17 May 2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Xuefeng Peng
Yi Ding
David Wihl
Omer Gottesman
Matthieu Komorowski
Li-wei H. Lehman
A. Ross
A. Faisal
Finale Doshi-Velez
OffRL
27
87
0
15 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
77
1,592
0
07 Dec 2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Omer Gottesman
Fredrik D. Johansson
Joshua Meier
Jack Dent
Donghun Lee
...
Matthieu Komorowski
A. Faisal
Leo Anthony Celi
David Sontag
Finale Doshi-Velez
OOD
OffRL
6
133
0
31 May 2018
Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron
Matthew W. Hoffman
David Budden
Will Dabney
Dan Horgan
TB Dhruva
Alistair Muldal
N. Heess
Timothy Lillicrap
OffRL
68
477
0
23 Apr 2018
An Analysis of Categorical Distributional Reinforcement Learning
Mark Rowland
Marc G. Bellemare
Will Dabney
Rémi Munos
Yee Whye Teh
25
101
0
22 Feb 2018
Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu
Matthieu Komorowski
Imran Ahmed
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
OffRL
34
172
0
27 Nov 2017
Distributional Reinforcement Learning with Quantile Regression
Will Dabney
Mark Rowland
Marc G. Bellemare
Rémi Munos
61
753
0
27 Oct 2017
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
57
1,497
0
21 Jul 2017
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
164
3,777
0
18 Nov 2015
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
117
2,257
0
05 Aug 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
104
149,474
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
292
23,235
0
03 Jun 2014
1