Back to Overview of Advanced Methods of Reinforcement Learning in Finance
Overview of Advanced Methods of Reinforcement Learning in Finance, New York University Tandon School of Engineering
3.4
20 ratings
About this 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.
Filter by:
2 Reviews
By Niklas Oreland
•Oct 15, 2018
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.
By Matthieu Brucher
•Sep 29, 2018
No real follow up by the team, and the assignments have nothing to do with the classes.
Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.
© 2019 Coursera Inc. All rights reserved.
