- Почетна страница /
- Knjige /
- Computing & Internet /
- Informatika /
- AI & Machine Learning /
- Deep Reinforcement Learning Hands-On: Apply m...
0 ratings
artikal br.:
52769558
Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and
89% of respondents would recommend this to a friend
artikal br.:
52769558
RSD 12305
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
0 ratings
Napišite recenziju
На лагеру
Uvezeno iz UK prodavnice
QTY:
Naručite sada i dobijte oko Petak, Oktobar 23
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Deep Reinforcement Learning Hands-On is an updated and expanded version of the bestselling guide to the latest reinforcement learning tools and techniques.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Practical Applications
Focuses on real-world problems like chatbots and robotics, ensuring learners can apply theoretical knowledge to practical scenarios, improving relevance in today's technology-driven landscape.
Modern Techniques
Covers contemporary reinforcement learning methods, equipping readers with cutting-edge skills that enhance their ability to tackle complex challenges across various domains.
Hands-On Approach
Emphasizes experiential learning through hands-on projects, which cultivates a deeper understanding of deep reinforcement learning concepts while encouraging experimentation and innovation.
Детаљи о производу
- New edition of the bestselling guide to deep reinforcement learning with expanded content
- Revised and expanded to include multi-agent methods, discrete optimization, and RL in robotics
- Covers advanced exploration techniques and practical applications of RL including chatbots, robotics, and web automation
- Includes six new chapters on up-to-the-minute developments in RL
- Provides actionable insights into deep Q-networks, policy gradient methods, and continuous control problems
- Assumes fluency in Python and offers an introduction to deep RL with no background in RL required
| Publisher | Packt Publishing |
| Publication date | 31 Jan. 2020 |
| Edition | 2nd Revised edition |
| Language | English |
| Print length | 826 pages |
| ISBN-10 | 1838826998 |
| ISBN-13 | 978-1838826994 |
| Item weight | 1.51 kg |
| Dimensions | 19.05 x 4.75 x 23.5 cm |
Who Should Buy?
-
Aspiring Developers
Those new to AI and machine learning seeking practical knowledge in reinforcement learning techniques for real-world applications.
-
Industry Professionals
Professionals looking to enhance their skill set by applying modern reinforcement learning methods in fields like robotics or automation.
-
Students and Learners
Students pursuing studies in computer science or AI who want hands-on experience with practical reinforcement learning problems.
-
Beginner Programmers
Individuals with no prior programming or AI knowledge may find the content challenging and overwhelming without foundational skills.
OPIS PROIZVODA
About This Item
Experience the power of deep reinforcement learning with the second edition of "Deep Reinforcement Learning Hands-On." This comprehensive guide allows you to apply modern RL methods to practical problems across a range of industries, including chatbots, robotics, discrete optimization, web automation, and more. With this book, you'll dive into the world of deep reinforcement learning and gain a deep understanding of its concepts and techniques. You'll explore topics such as value-based methods, policy-based methods, and model-based methods to develop robust and efficient RL models. Whether you're interested in creating sophisticated chatbots, optimizing complex systems, or automating web processes, this book provides you with the knowledge and tools you need. It offers hands-on exercises and real-world examples to help you apply what you've learned and build practical solutions. The large print edition ensures that you can easily read and follow along with the content, making it accessible for readers of all skill levels.
The book is also up-to-date, featuring the latest advancements and techniques in deep reinforcement learning. Don't miss out on the opportunity to master deep reinforcement learning and revolutionize your approach to problem-solving. Get your copy of "Deep Reinforcement Learning Hands-On" today and take your skills to the next level.
Imate li upita? Razgovarajte sa nama
Питања и одговори купаца
-
Pitanje:
Како купити Deep Reinforcement Learning Hands-On: Apply modern на мрежи од Убуи-а?
Odgovor: Лако је куповати Deep Reinforcement Learning Hands-On: Apply modern на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију. -
Pitanje:
Да ли је Deep Reinforcement Learning Hands-On: Apply modern доступан за онлајн куповину у Serbia?
Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Deep Reinforcement Learning Hands-On: Apply modern није доступан локално, али можете нам веровати у наше услуге експресне испоруке. -
Pitanje:
Колико времена је потребно да се производ добије након наручивања?
Odgovor: Време испоруке вашег нарученог производа варира у зависности од тога шта сте наручили и начина испоруке који сте изабрали.. Процењено време испоруке се помиње током процеса плаћања, па будите безбрижни док купујете.
AI & Machine Learning Editorial Review
Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more is an exceptional resource for anyone interested in practical applications of Reinforcement Learning. This book stands out for its clear engineering descriptions and practical implementations, guiding readers from foundational concepts to complex applications. Reviewers highlight its structured approach, using real projects for a better grasp of the material, and its comprehensive coverage of various RL techniques. Although the illustrations are in black and white, the content quality and practical insights make it a primary reference, especially for those focused on coding in Python and Pytorch.
Customer Reviews & Ratings
175 recenzije kupaca
-
5 zvezda
71%
-
4 zvezda
17%
-
3 zvezda
7%
-
2 zvezda
2%
-
1 zvezda
3%
Ocenite ovaj proizvod
Podelite svoja razmišljanja sa drugim kupcima
Прос
- Clear and concise explanations of core RL components
- Practical implementations based on real projects
- Excellent resource for both novices and experts
- Comprehensive coverage of reinforcement learning techniques
- Structured lessons that build on each other
Цонс
- Diagrams are in black and white, which may be less engaging
Product Price History
Važna informacija
- Ograničenja: Za proizvode koji se isporučuju međunarodno, imajte na umu da garancija proizvođača možda neće biti važeća; opcije servisiranja proizvođača možda neće biti dostupne; priručnici za proizvode, uputstva i upozorenja o bezbednosti možda nisu na jezicima zemlje odredišta; proizvodi (i prateći materijali) ne moraju biti dizajnirani u skladu sa standardima zemlje odredišta, specifikacijama i zahtevima za označavanje; a proizvodi možda nisu u skladu sa naponom zemlje odredišta i drugim električnim standardima (zahteva se upotreba adaptera ili pretvarača ako je potrebno). Primalac je odgovoran za osiguranje da se proizvod može zakonito uvesti u odredišnu zemlju. Prilikom naručivanja od kompanije Ubuy ili njegovih podružnica, primalac je nadležni uvoznik i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.
RSD 12305
Naručite sada i dobijte oko Petak, Oktobar 23
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Карактеристике и предности
- Learn the fundamentals of RL and implement complex deep learning models
- Discover advanced exploration techniques like network distillation methods and build a practical hardware robot
- Explore deep RL and its application to real-world problems such as cheap hardware robotics platforms
- Evaluate RL methods such as cross-entropy, DQN, actor-critic, and others
- Understand machine learning concept of RL and solve complex problems including discrete optimization and web automation
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.