Massimiliano Patacchiola personal blog
Dissecting Reinforcement Learning
Explaining the basic ideas behind reinforcement learning. In particular, Markov Decision Process, Bellman equation, Value iteration and Policy Iteration algorithms, policy iteration through linear algebra methods. It includes full working code written in Python.
- Points
- 146
- HN comments
- 0
- Submissions
- 1
- Cited by
- 0 commenters
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| May 27, 2018 | Dissecting Reinforcement Learning by adamnemecek | 146 | 0 |
