reinforcement-learning and kalman filter inspired exploration on portfolio optimization
ran into problems of catastrophic forgetting (huge loss in the middle of training runs) which inspired me to work on KL inspired forgetting laws in post training; this project is put on hold until I figure out how to finetune the objective functions. also realized mathematical formulas are more simple and elegant to implement than complicated learning loops when possible.