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.
Este curso faz parte do Programa de cursos integrados Machine Learning and Reinforcement Learning in Finance
oferecido por
Informações sobre o curso
Habilidades que você terá
- option pricing and risk management
- simple model for market dynamics
- Q-learning using financial problems
- optimal trading
- Portfolio Optimization
oferecido por

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.
Programa - O que você aprenderá com este curso
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
Avaliações
- 5 stars48,30%
- 4 stars15,25%
- 3 stars4,23%
- 2 stars10,16%
- 1 star22,03%
Principais avaliações do REINFORCEMENT LEARNING IN FINANCE
Challenging course as a non-finance person, but learned a lot.
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.
Sobre Programa de cursos integrados 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.

Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao estudante.