Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
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Updated
Apr 28, 2025 - Python
Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
A python-based application that utilizes Kalman Filter to process data from GPS, speedometer, and accelerometer sensors to estimate the position of a vehicle.
I designed a fuzzy controller in order to solve the inverted pendulum problem.
This repo contains all the Assignment given in CS571 course.
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