Chevron Left
Back to Reinforcement Learning in Finance

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

122 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....

Top reviews

Filter by:

26 - 31 of 31 Reviews for Reinforcement Learning in Finance

By Yi W

May 10, 2022

By Charl M

Nov 23, 2020

By Kenneth N

Jul 26, 2022

By Abdelrahman T A

Jan 26, 2020

By Wei C

Jul 21, 2022

By 吕子赳

Aug 25, 2021