Chevron Left
Overview of Advanced Methods of Reinforcement Learning in Finance(으)로 돌아가기

New York University의 Overview of Advanced Methods of Reinforcement Learning in Finance 학습자 리뷰 및 피드백

73개의 평가
11개의 리뷰

강좌 소개

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....

최상위 리뷰

필터링 기준:

Overview of Advanced Methods of Reinforcement Learning in Finance의 10개 리뷰 중 1~10

교육 기관: Teemu P

2019년 3월 16일

Assessments are once again out of touch with the materials that have been presented and do not reflect any practical uses you may need to work on in the industry. Skip this certificate until fixed.

교육 기관: Wi K

2020년 3월 28일

Contents of Week1 and Week4 are really useful, as the instructor recommended several academic papers on relevant topics. However the instructor failed to expand them, at least will be helpful to outline the basic ideas of each paper. The instructor only mentioned the authors' names and paper title. It's a pity.

However, week 2 and week 3 are totally useless in understanding finance and reinforcement learning. It's just a pile of formulas from physics, not interesting or pertinent to course topic at all. Moreover there is a strange signal term in the drift of stochastic process. I don't think anyone in industry is ever using this less-known dynamic to pricing or trading.

It's definitely better that Week2 and Week3 could be removed completely and be replaced by expansions of the academic papers that the instructor recommended.

교육 기관: Matthieu B

2018년 9월 29일

No real follow up by the team, and the assignments have nothing to do with the classes.

교육 기관: Ehsan F

2020년 3월 16일

Never have wasted my time on anything as useless as this one! If I wanted to go read the book to learn and take the exam I wouldn't need you. Just don't take this course Or any of the courses on this specialization.

교육 기관: Ishrit T

2019년 12월 8일

It was very difficult to get the peer-graded assignments graded.

교육 기관: Niklas O

2018년 10월 15일

Interesting deep dive into a RL application in Finance at forefront of research, however be prepared for challenging project assignments with limited support or guidance. Not for the fainthearted.

교육 기관: Daria

2019년 12월 12일

Great refreshment on Stochastic calculus and overall rewind of the specialization!

교육 기관: Rodrigo A d S

2019년 5월 31일

Excellent course!!!

교육 기관: Luis A

2019년 9월 28일

Great course.

교육 기관: Abdelrahman T A

2020년 1월 26일