Honors Undergraduate Thesis
- Intended to provide a machine-learning based replacement for the L-BFGS-B gradient descent approach used by DRAGLINE
- Evaluated the performance of simple feed-forward neural networks when tasked with predicting optimal paths through racecourses.
- Provided the author an excuse to naively apply newly acquired machine-learning knowledge to a completely inappropriate problem.