Comparison · Reinforcement learning and edge ML books
Reinforcement Learning and Optimal Control vs TinyML: which is better in 2026?
Reinforcement Learning and Optimal Control90.5#2 in best reinforcement learning and edge ML books
TinyML89.0#3 in best reinforcement learning and edge ML books
TinyML89.0#3 in best reinforcement learning and edge ML booksReinforcement Learning and Optimal Control ranks higher in our list of reinforcement learning and edge ML books (#2 against #3, score 90.5 against 89.0), but the gap is small and the better choice depends on what you need.
- 90.5Editorial score89.0
- 1Formats2
- YesFree to useNo
Which should you choose?
Choose Reinforcement Learning and Optimal Control if you want
Graduate study of RL and dynamic programming.
A rigorous dynamic programming view of reinforcement learning, with a free 2025 PDF and lectures on the author's site. It is heavier on mathematics than Sutton and Barto, so it suits graduate study.
Choose TinyML if you want
Running machine learning on microcontrollers.
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.
The main differences
- Reinforcement Learning and Optimal Control can be used for free; TinyML requires payment.
Side by side
| Reinforcement Learning and Optimal Control |  TinyML | |
|---|---|---|
| Score | 90.5 | 89.0 |
| Rank in list | #2 of 10 | #3 of 10 |
| Price | FreeFree PDF for instructional use; 2nd edition from 2025 | PaidFree preview PDF; full PDF and print copy sold separately |
| Free to use | Yes | No |
| Formats | PDF, Print | |
| Author | Dimitri P. Bertsekas | Pete Warden and Daniel Situnayake |
| Level | Advanced | Intermediate |
| Free to read online | Yes | No |
| Latest edition | 2nd edition, 2025 | Not stated on the book site |
| Math required | Heavy: optimization and probability | Light: basic programming |
| Best for | Graduate study of RL and dynamic programming | Running machine learning on microcontrollers |
| Strengths |
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| Limits |
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| Links | Visit site | Visit site |
Questions about Reinforcement Learning and Optimal Control vs TinyML
- Is Reinforcement Learning and Optimal Control better than TinyML?
- Reinforcement Learning and Optimal Control ranks higher in our list of reinforcement learning and edge ML books (#2 against #3, score 90.5 against 89.0), but the gap is small and the better choice depends on what you need. Reinforcement Learning and Optimal Control is best for: graduate study of RL and dynamic programming. TinyML is best for: running machine learning on microcontrollers.
- Which is cheaper, Reinforcement Learning and Optimal Control or TinyML?
- Reinforcement Learning and Optimal Control: Free PDF for instructional use; 2nd edition from 2025. TinyML: Free preview PDF; full PDF and print copy sold separately.
Choosing between the two
Learning Center
1:17How to decide between two good optionsSettle a close call by sorting it by how hard it is to undo, setting a deadline, scoring the criteria as a tie-breaker and writing down why you chose.
1:20How to compare products fairly: what to keep in mindDefine the job, cap the must-haves, compare like with like, count total cost over one period and weigh the criteria. Includes a worked example.Read more about Reinforcement Learning and Optimal Control and TinyML
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