This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management.
Ce cours fait partie de la Spécialisation Machine Learning and Reinforcement Learning in Finance
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À propos de ce cours
Compétences que vous acquerrez
- option pricing and risk management
- simple model for market dynamics
- Q-learning using financial problems
- optimal trading
- Portfolio Optimization
Offert par

New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
Programme de cours : ce que vous apprendrez dans ce cours
MDP and Reinforcement Learning
MDP model for option pricing: Dynamic Programming Approach
MDP model for option pricing - Reinforcement Learning approach
RL and INVERSE RL for Portfolio Stock Trading
Avis
- 5 stars48,30 %
- 4 stars15,25 %
- 3 stars4,23 %
- 2 stars10,16 %
- 1 star22,03 %
Meilleurs avis pour REINFORCEMENT LEARNING IN FINANCE
Excellent course. The peer reviewed evaluation is very interisting and it is definitely worth the time to do it in detail but does not take two hours with luck a week.
Challenging course as a non-finance person, but learned a lot.
À propos du Spécialisation Machine Learning and Reinforcement Learning in Finance
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.

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