# Reinforcement Learning: An Introduction vs Reinforcement Learning: Theory and Algorithms

Source: https://listme.name/compare/reinforcement-learning-an-introduction-vs-reinforcement-learning-theory-and-algorithms
Framed by the ranking: https://listme.name/best/reinforcement-learning-and-edge-ml-books

| | Reinforcement Learning: An Introduction | Reinforcement Learning: Theory and Algorithms |
|---|---|---|
| Score | 94.0 | 86.0 |
| Rank | #1 | #7 |
| Price | Free | Free |
| Best for | Standard free reinforcement learning textbook | Theory-first study of reinforcement learning |
| Level | Intermediate | Advanced |
| Free to read online | Yes | Yes |
| Latest edition | 2nd edition, 2018 | Draft, updated in 2026 |
| Math required | Light to moderate: probability | Heavy: probability and proofs |

The standard free text for reinforcement learning, with the full PDF from the authors and exercises throughout. It focuses on core ideas rather than the newest deep reinforcement learning systems. A free, frequently updated theory text that treats sample-efficient reinforcement learning carefully. It has little code and is still in progress, so it ranks below the more finished textbooks.