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Learner Reviews & Feedback for Reinforcement Learning in Finance by New York University

3.5
stars
126 ratings

About the Course

This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management. By the end of this course, students will be able to - Use reinforcement learning to solve classical problems of Finance such as portfolio optimization, optimal trading, and option pricing and risk management. - Practice on valuable examples such as famous Q-learning using financial problems. - Apply their knowledge acquired in the course to a simple model for market dynamics that is obtained using reinforcement learning as the course project. Prerequisites are the courses "Guided Tour of Machine Learning in Finance" and "Fundamentals of Machine Learning in Finance". Students are expected to know the lognormal process and how it can be simulated. Knowledge of option pricing is not assumed but desirable....
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26 - 34 of 34 Reviews for Reinforcement Learning in Finance

By Xin W

Apr 10, 2020

The final assignment is quite difficult compared with the previous ones and what has been discussed in the course.....

By Yi W

May 10, 2022

Sorry but the lecture is way too lofty and not much essential. The project has nothing to do with the core of the "reinforcement learning" and it is just a MLE to verify a model of the instructor's paper. really not a good course.

By Charl M

Nov 23, 2020

There is too much focus on quantitative financial analysis, and not enough time on explaining RL. Simple financial examples are beneficial to understand the practical use of RL in finance, but I felt that this course had a strong bias towards finance. I feel I still need to do further reading in order to apply RL in my work. The assignment did not supply all the data required to perform the tasks. The peer grading process did not work, we had to rely on sharing links in the discussion section to get our assignments graded.

By Kenneth N

Jul 26, 2022

Great course. You require lot of patience to complete the course. Uses lot of unnecessary history, symbols and equations to explain simple concepts. Overall it is a good overview of the big picture of RL in finance provided if u can withstand the assault of excessive mindless symbols and equations.

By Eduardo S

Jan 5, 2023

Great course. Some financial math knowledge and good level of TensorFlow is needed to complete the final assignment. I´d suggest stopping the videos, re listen to the instructor and read the papers he mentions - it´s the only way to complete the final assignment.

By Abdelrahman T A

Jan 26, 2020

Thank you ...and i wish all student sucess

By Wei C

Jul 21, 2022

The course is good. However, the course is provided for a really old version of mangodb. And nearly everything has changed now. It is useless now to learn this course for the latest version of mangodb.

By 吕子赳

Aug 25, 2021

The accent of the professor is completely a disaster !!!! Never try this course unless you are confident that you can learn every thing just by reading matrials of this course. Believe me

By Andrew H S K

Jan 26, 2023

very diffcult , i cant find the csv file to view the data.