---
title: "Andrew G. Barto og Richard S. Sutton Reinforcement Learning"
ean: "9780262039246"
brand: "Andrew G. Barto og Richard S. Sutton"
category: "Medier > Bøger"
price_min: 1274
price_max: 1274
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780262039246/reinforcement-learning
last_checked: 2026-10-14
---

# Andrew G. Barto og Richard S. Sutton Reinforcement Learning

EAN 9780262039246 · Mærke: Andrew G. Barto og Richard S. Sutton · Kategori: Medier > Bøger

Sammenlign priser på Andrew G. Barto og Richard S. Sutton Reinforcement Learning fra 1 forhandler. Billigste pris nu: 1.274 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780262039246/reinforcement-learning

## Priser
- **Billigste pris nu:** 1.274 kr hos Saxo DK
- **Prisspænd:** 1.274 kr – 1.274 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 1.274 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning , Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core, online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new for the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

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Priserne er sidst kontrolleret 2026-10-14.