Chevron Left
Voltar para Reinforcement Learning in Finance

Comentários e feedback de alunos de Reinforcement Learning in Finance da instituição New York University

3.6
estrelas
122 classificações

Sobre o curso

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. By the end of this course, students will be able to - Use reinforcement learning to solve classical problems of Finance such as portfolio optimization, optimal trading, and option pricing and risk management. - Practice on valuable examples such as famous Q-learning using financial problems. - Apply their knowledge acquired in the course to a simple model for market dynamics that is obtained using reinforcement learning as the course project. Prerequisites are the courses "Guided Tour of Machine Learning in Finance" and "Fundamentals of Machine Learning in Finance". Students are expected to know the lognormal process and how it can be simulated. Knowledge of option pricing is not assumed but desirable....

Melhores avaliações

Filtrar por:

1 — 25 de 31 Avaliações para o Reinforcement Learning in Finance

por Yi B

14 de abr de 2019

por Omar O

1 de jul de 2019

por Alexander E

31 de out de 2018

por Teemu P

6 de mar de 2019

por Oliver B

4 de out de 2019

por Cheng-Chung L

2 de abr de 2020

por Matthieu B

31 de ago de 2018

por Dossiman

11 de out de 2018

por fernando d l

22 de set de 2019

por Tom B

3 de jul de 2019

por Hilmi E

11 de set de 2018

por 秦源

10 de jan de 2021

por Bozanian K

5 de set de 2018

por Wei X

23 de mar de 2020

por Luis A

6 de jun de 2019

por 刘晶

10 de dez de 2018

por OLEG M

17 de jul de 2018

por tsvi l

12 de set de 2020

por Stéphane T

19 de jun de 2020

por santiago r z

4 de set de 2018

por Chenghai L

12 de fev de 2020

por Pascal L

15 de dez de 2020

por Marcelo R

7 de mai de 2020

por Solomon M

24 de jun de 2021

por Xin W

10 de abr de 2020