My Learning
This repo serves as my learning journal throughout the years. Usually, I update it once per semester. I don't think people are particularly interested, but below is the table of content to guide you (mostly me lah) through the jungle; they are mostly related to robotics and autonomous systems.
A. Control
Advance Topics
Dynamics (ETH Robot Dynamics)
Linear System
Trajectory Optimization
B. Sensing
Sensors
Kalman Filtering
Lie Theory
Optimization-based
C. Math
Optimization
- Convex Optimization
- Stochastic Programming
Linear Algebra
General Engineering Mathematics
D. Machine Learning
Machine Learning
- HKUST COMP5212 Course (Linear Model, Theory of Generalization, NNs, Transformers, Tree-based Models, Adversarial Learning, Reinforcement Learning)