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Reinforcement Learning: An Introduction

Reinforcement Learning: An Introduction by Sutton and Barto

by Sutton and Barto

Shares rank 9 of 28 computer science textbooks by recommenders

Widely called the standard introduction to reinforcement learning, written by two founders of the field. Critics say it covers older methods and some modern deep learning approaches are missing.

Widely called the standard introduction to reinforcement learning, written by two founders of the field. Critics say it covers older methods and some modern deep learning approaches are missing.

8 people gave an opinion

recommend it
6
criticize it
2
approval share
75%
Each figure is one person. RecommendsCriticizes

Recommended in 3 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: recommended
  4. February 2026: not recommended
  5. March 2026: recommended
  6. April 2026: not recommended
  7. May 2026: not recommended
  8. June 2026: recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 6 people recommend itNeeds 10 or more, not met.
  • 3 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 3 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Standard, authoritative introduction to the field

    “Reinforcement Learning by Sutton & Barto is an excellent introduction by two of the founders of the field.”

    Comment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

    “Sutton & Barto is the standard recommendation and it's good”

    Comment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

    “universally considered the bible of the field”

    Comment from 10 Jun 2026 in “Rich Sutton on AI creativity and discovery”

What people warn about

Each mark is one comment

  • Missing modern deep reinforcement learning methods

    “doesn't cover some of the more modern methods used in deep reinforcement learning”

    Comment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”
  • Dated material, heavy on old methods

    “Sutton & Barto belabors a lot of old stuff that is no longer obsessed over”

    Comment from 31 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”
  • Dense terminology hard to follow

    “I tried reading the Sutton and Barto book, but got lost in the terminology.”

    Comment from 26 Nov 2025 in “CS234: Reinforcement Learning Winter 2025”

Other computer science textbooks people recommend

The four most recommended other computer science textbooks, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Reinforcement Learning: An Introduction by Sutton and Barto compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Structure and Interpretation of Computer Programsby Abelson and Sussman55592%12—Approved
The Art of Computer Programmingby Donald E. Knuth28682%10—Approved
Structure and Interpretation of Computer Programsby Abelson and Sussman120100%9—Approved
Quantum Computation and Quantum Informationby Nielsen and Chuang120100%3——
Reinforcement Learning: An Introductionby Sutton and BartoThis page6275%3——
See all 28 computer science textbooks, ranked

What people said

All 8 comments that mention it, newest first. Each links to the original comment.

“universally considered the bible of the field”

RecommendsComment from 10 Jun 2026 in “Rich Sutton on AI creativity and discovery”

“Sutton & Barto belabors a lot of old stuff that is no longer obsessed over”

CriticizesComment from 31 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

“Sutton & Barto is the standard recommendation and it's good”

RecommendsComment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

“doesn't cover some of the more modern methods used in deep reinforcement learning”

MixedComment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

“I would recommend that you start with one of the classics”

RecommendsComment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

“Reinforcement Learning by Sutton & Barto is an excellent introduction by two of the founders of the field.”

RecommendsComment from 30 Mar 2026 in “Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models”

“study Reinforcement Learning (e.g. Rick Sutton)”

RecommendsComment from 16 Jan 2026 in “Michelangelo's First Painting, Created When He Was Only 12 or 13 Years Old”

“I tried reading the Sutton and Barto book, but got lost in the terminology.”

CriticizesComment from 26 Nov 2025 in “CS234: Reinforcement Learning Winter 2025”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.