How Long to Read Foundations of Reinforcement Learning with Applications in Finance

How Long Does it Take to Read Foundations of Reinforcement Learning with Applications in Finance?

It takes the average reader 8 hours and 46 minutes to read Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao

Assuming a reading speed of 250 words per minute. Learn more

Description

Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging. This book strives to impart a lucid and insightful understanding of the topic by emphasizing the foundational mathematics and implementing models and algorithms in well-designed Python code, along with robust coverage of several financial trading problems that can be solved with Reinforcement Learning. This book has been created after years of iterative experimentation on the pedagogy of these topics while being taught to university students as well as industry practitioners. Features Focus on the foundational theory underpinning Reinforcement Learning and software design of the corresponding models and algorithms Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or data scientists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding To access the code base for this book, please go to: https://github.com/TikhonJelvis/RL-book.

How long is Foundations of Reinforcement Learning with Applications in Finance?

Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao is 522 pages long, and a total of 131,544 words.

This makes it 176% the length of the average book. It also has 161% more words than the average book.

How Long Does it Take to Read Foundations of Reinforcement Learning with Applications in Finance Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 58 minutes to read Foundations of Reinforcement Learning with Applications in Finance aloud.

What Reading Level is Foundations of Reinforcement Learning with Applications in Finance?

Foundations of Reinforcement Learning with Applications in Finance is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Foundations of Reinforcement Learning with Applications in Finance?

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