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学生对 New York University 提供的 Reinforcement Learning in Finance 的评价和反馈

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课程概述

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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1 - Reinforcement Learning in Finance 的 25 个评论(共 31 个)

创建者 Yi B

Apr 14, 2019

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Jul 1, 2019

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Oct 31, 2018

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Mar 6, 2019

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Oct 4, 2019

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Apr 2, 2020

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Aug 31, 2018

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Oct 11, 2018

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Sep 22, 2019

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Jul 3, 2019

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Sep 11, 2018

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Jan 10, 2021

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Sep 5, 2018

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Mar 23, 2020

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Jun 6, 2019

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Dec 10, 2018

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Sep 12, 2020

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Jun 19, 2020

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Sep 4, 2018

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Feb 12, 2020

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Dec 15, 2020

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Jun 24, 2021

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Apr 10, 2020