Teaching
The reinforcement learning lecture notes took some proofs from Mannor et al., Reinforcement Learning Foundations, and some others from Bertsekas & Tsitsiklis, Neuro-Dynamic Programming. The related credit should be given to these authors instead of myself.
Reinforcement Learning
Introduction to Machine Learning
2024 - Fall
- 1: Basic Concepts
- 2: Linear Predictors
- 3: Classification
- 4: Probability Theory
- 5: Statistical Learning Theory
- 6: Bayesian Learning
- 7: Unsupervised Learning
- 8: Deep Learning
- 9: Learning and Controlling Dynamical Systems
- 10: Kernel Methods
- 11: Ensemble Methods