Implementing optimal control algorithms in mock stochastic environments, following EE365 - Stochastic Control, now turned into EE 266.
Concepts applied:
- Markov Chains
- Linear Quadratic Regulator (both discrete & continuous time)
- Shortest Paths (Bellman-Ford, Dijkstra, A-Star, and Stochastic SP)
- Model-Predictive Control