Part of the Machine Learning Nanodegree Program.
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
- Reinforcement Learning
- Q-Learning
- Optimization
- Modeling
- Model Tuning
- Python
- Algebra
- Statistics
- Calculus