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Found 3 papers, 1 papers with code
Self-Sustaining Oscillator with Frequency Counter for Resonance Frequency Tracking in Micro- and Nanomechanical Sensing
We derive a theoretical model for characterizing the speed and precision of frequency measurements with state-of-the-art frequency counters.
Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
In the pure learning based approach that discards the Kalman filter, the raw data from the sensor are used in training a model for both location and size prediction.
Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning
Reinforcement Learning faces an important challenge in partial observable environments that has long-term dependencies.
Partially Observable Reinforcement Learning
reinforcement-learning
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