Inverted Pendulum Goal

The goal of the inverted pendulum project is to explore different loss functions and how they affect the training and performance of physics informed neural networks for model predictive control. The project specifically focuses on varying the base loss function from mean squared error (MSE) to different polynomials as well as applying weighting functions to the standard MSE loss function.

The current report file is here