Avis et commentaires pour d'étudiants pour Overview of Advanced Methods of Reinforcement Learning in Finance par New York University

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.

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.

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

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.

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

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.

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

Excellent course!!!

Great course.

Thanks