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Lars Leyendecker
Publication Activity (10 Years)
Years Active: 2021-2022
Publications (10 Years): 3
Top Topics
Model Free
Function Approximation
Minimally Invasive Surgery
Reinforcement Learning
Top Venues
MIDL
IRC
Int. J. Semantic Comput.
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Publications
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Lars Leyendecker
,
Julius Haas
,
Tobias Piotrowski
,
Maik Frye
,
Cora Becker
,
Bernd K. Fleischmann
,
Michael Hesse
,
Robert H. Schmitt
A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes.
MIDL
(2022)
Lars Leyendecker
,
Markus Schmitz
,
Hans Aoyang Zhou
,
Vladimir Samsonov
,
Marius Rittstieg
,
Daniel Lütticke
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.
Int. J. Semantic Comput.
16 (3) (2022)
Lars Leyendecker
,
Markus Schmitz
,
Hans Aoyang Zhou
,
Vladimir Samsonov
,
Marius Rittstieg
,
Daniel Lütticke
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.
IRC
(2021)