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Found 5 papers, 1 papers with code
Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform
Label-free detecting multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications.
A Scalable Finite Difference Method for Deep Reinforcement Learning
Several low-bandwidth distributable black-box optimization algorithms in the family of finite differences such as Evolution Strategies have recently been shown to perform nearly as well as tailored Reinforcement Learning methods in some Reinforcement Learning domains.
Agent Spaces
The resulting definition of exploration can be applied in infinite problems and non-dynamic learning methods, which the dynamic notion of exploration cannot tolerate.
Evolution Strategies Converges to Finite Differences
Since the debut of Evolution Strategies (ES) as a tool for Reinforcement Learning by Salimans et al. 2017, there has been interest in determining the exact relationship between the Evolution Strategies gradient and the gradient of a similar class of algorithms, Finite Differences (FD).
High-throughput intensity diffraction tomography with a computational microscope
We further investigate the limitation of our technique when imaging strongly scattering samples.
Image and Video Processing Biological Physics Optics
