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Overview of Advanced Methods of Reinforcement Learning in Finance

New York University (NYU) via Coursera

1 Review 54 students interested
  • Provider Coursera
  • Subject Machine Learning
  • Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long
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Overview

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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.

Taught by

Igor Halperin

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Review for Coursera's Overview of Advanced Methods of Reinforcement Learning in Finance
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Cyril F
1.0 2 months ago
Cyril completed this course.
Lecture material is good, but lectures are in a monotone voice behind a slide presentation, very few examples, voice intensity is low. Lecture should spend a little more time in holding the attention of the student.
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