The fourth midterm covers the Reinforcement Learning topics. Differently from the previous ones, this midterm is based on reading and summarizing the main findings of a single paper chosen from the list provided below.
Students are expected to deliver a short presentation (no more than 8 slides) covering the following content:
- Introduction to the problem
- Model description
- Key catch of the model, represented by a commented equation
- Key (empirical) result
- Comment on novelties, strong points and weaknesses