# Bandit Algorithms vs TinyML

Source: https://listme.name/compare/bandit-algorithms-vs-tinyml-book
Framed by the ranking: https://listme.name/best/reinforcement-learning-and-edge-ml-books

| | Bandit Algorithms | TinyML |
|---|---|---|
| Score | 88.0 | 89.0 |
| Rank | #4 | #3 |
| Price | Free | Paid |
| Best for | Theory of exploration and bandit problems | Running machine learning on microcontrollers |
| Level | Advanced | Intermediate |
| Free to read online | Yes | No |
| Latest edition | 2020, Cambridge University Press | Not stated on the book site |
| Math required | Heavy: probability and proofs | Light: basic programming |

A free PDF from the authors and a Cambridge University Press text on bandit theory, the simplest setting where exploration matters. It is theory-first and narrower than Sutton and Barto, so it ranks below that standard text. The most practical guide here for running models on microcontrollers, with a free preview. The full book is paid and has little theory, unlike the Sze book.