Reinforcement Learning Lectures
- Lecture-01- Terminology, definitions, and a bit of classical game AI.
- Lecture-02- Inference and decision making with game trees.
- Lecture-03- Problem solving as search.
- Lecture-04- Monte Carlo tree search.
- Lecture-05- From state machines to graphical models.
- Lecture-06- Markov chains and hidden Markov models.
- Lecture-07- Foundations of reinforcement learning.
- Lecture-08-Solving Bellman equations.
- Lecture-09-Model-based and model-free RL algorithms.
- Lecture-10-Q Learning.
- Lecture-11- Value- and quality-function approximation.