--- product_id: 118664326 title: "Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series)" price: "COP 827370" currency: COP in_stock: true reviews_count: 11 url: https://www.desertcart.co/products/118664326-reinforcement-learning-an-introduction-adaptive-computation-and-machine-learning-series store_origin: CO region: Colombia --- # Expanded 2nd edition Core RL algorithms & new methods Neuroscience & psychology insights Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series) **Price:** COP 827370 **Availability:** βœ… In Stock ## Summary > πŸ€– Unlock the future of AI with the definitive Reinforcement Learning guide! ## Quick Answers - **What is this?** Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series) - **How much does it cost?** COP 827370 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co](https://www.desertcart.co/products/118664326-reinforcement-learning-an-introduction-adaptive-computation-and-machine-learning-series) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Future-Ready Knowledge:** Stay ahead with discussions on societal impacts and the evolving landscape of reinforcement learning. - β€’ **Comprehensive & Updated:** Dive into the latest reinforcement learning breakthroughs with new algorithms like UCB, Expected Sarsa, and Double Learning. - β€’ **Bridging Theory & Practice:** Explore real-world case studies including AlphaGo, Atari gameplay, and IBM Watson’s strategies. - β€’ **Core Algorithms Made Clear:** Master foundational online learning techniques with mathematically rigorous yet accessible explanations. - β€’ **Interdisciplinary Insights:** Understand RL’s connections to psychology and neuroscience for a holistic grasp of AI learning. ## Overview Reinforcement Learning – An Introduction (2nd Edition) by Sutton and Barto is a definitive, expanded textbook covering foundational and advanced RL algorithms, enriched with interdisciplinary insights and real-world case studies, making it essential for professionals aiming to master AI’s most dynamic field. ## Description 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. Review: Gread book about reinforcement learning - I have read one third so far. Compared to other machine learning materials I have read or watched or listened, this is very well written and they put effort to help you understand. I am data scientist and machine learning engineer. Book might be hard for those who are not familiar with the field. My book has no physical quality problems that many have had. The opposite. Physical quality is greatly above average. Review: What else - Every single page is lucid, and joy to read. The complexity in RL is transformed to joy of RL ## Features - Reinforcement Learning An Introduction - product type: ABIS BOOK - brand: MIT Press ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 269,150 in Books ( See Top 100 in Books ) 277 in Computer Information Systems 1,373 in Computing & Internet Programming | | Customer Reviews | 4.6 out of 5 stars 619 Reviews | ## Images ![Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series) - Image 1](https://m.media-amazon.com/images/I/71nk3rOK3jL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Gread book about reinforcement learning *by T***O on 25 November 2019* I have read one third so far. Compared to other machine learning materials I have read or watched or listened, this is very well written and they put effort to help you understand. I am data scientist and machine learning engineer. Book might be hard for those who are not familiar with the field. My book has no physical quality problems that many have had. The opposite. Physical quality is greatly above average. ### ⭐⭐⭐⭐⭐ What else *by G***S on 28 August 2019* Every single page is lucid, and joy to read. The complexity in RL is transformed to joy of RL ### ⭐⭐⭐⭐⭐ Bible of RL *by O***R on 11 October 2020* No complaints apart from a minor scuff on the cover, upon delivery. ## Frequently Bought Together - Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series) - Deep Learning (Adaptive Computation and Machine Learning series) - The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co/products/118664326-reinforcement-learning-an-introduction-adaptive-computation-and-machine-learning-series](https://www.desertcart.co/products/118664326-reinforcement-learning-an-introduction-adaptive-computation-and-machine-learning-series) --- *Product available on Desertcart Colombia* *Store origin: CO* *Last updated: 2026-07-09*