Teaching
Introduction to Machine Learning
2023 - Fall
Reinforcement Learning
2022 - Fall
- 0: Learning Theory Recap
- 1: Deep Learning Recap
- 2: Reinforcement Learning Intro
- 3: Markov Decision Processes
- 4: Dynamic Programming
- 5: Value-Based Simulation
- 6: Approximate TD Methods
- 7: Policy Gradient Methods
- 8: Modern Bayesian Inference
- 9: Dynamics Modeling with Neural Nets
- 10: Model-Based Reinforcement Learning