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學生對 New York University 提供的 Reinforcement Learning in Finance 的評價和反饋

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120 個評分

課程概述

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 - Reinforcement Learning in Finance 的 31 個評論(共 31 個)

創建者 Yi W

2022年5月10日

創建者 Charl M

2020年11月23日

創建者 Kenneth N

2022年7月26日

創建者 Abdelrahman T A

2020年1月26日

創建者 Wei C

2022年7月21日

創建者 吕子赳

2021年8月25日