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Learner Reviews & Feedback for Overview of Advanced Methods of Reinforcement Learning in Finance by New York University

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About the Course

In the last course of our specialization, Overview of Advanced Methods of Reinforcement Learning in Finance, we will take a deeper look into topics discussed in our third course, Reinforcement Learning in Finance. In particular, we will talk about links between Reinforcement Learning, option pricing and physics, implications of Inverse Reinforcement Learning for modeling market impact and price dynamics, and perception-action cycles in Reinforcement Learning. Finally, we will overview trending and potential applications of Reinforcement Learning for high-frequency trading, cryptocurrencies, peer-to-peer lending, and more. After taking this course, students will be able to - explain fundamental concepts of finance such as market equilibrium, no arbitrage, predictability, - discuss market modeling, - Apply the methods of Reinforcement Learning to high-frequency trading, credit risk peer-to-peer lending, and cryptocurrencies trading....

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By Teemu P

Mar 16, 2019

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Mar 28, 2020

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Sep 29, 2018

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Mar 16, 2020

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May 15, 2022

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Dec 8, 2019

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Oct 15, 2018

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Dec 12, 2019

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May 31, 2019

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Sep 28, 2019

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Jan 26, 2020

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Jul 26, 2022