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Model-free reinforcement learning with noisy actions for automated experimental control in optics

Model-free reinforcement learning with noisy actions for automated experimental control in optics

24 May 2024
Lea Richtmann
Viktoria-S. Schmiesing
Dennis Wilken
Jan Heine
Aaron Tranter
Avishek Anand
Tobias J. Osborne
M. Heurs
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Papers citing "Model-free reinforcement learning with noisy actions for automated experimental control in optics"

2 / 2 papers shown
Title
CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data
CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data
Jakub Malinowski
Marcin Kostrzewa
Michał Balcerek
Weronika Tomczuk
Janusz Szwabiński
52
0
0
18 Mar 2025
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
136
185
0
08 May 2020
1