An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
A core topic in machine learning is that of sequential decision-making.
This is the task of deciding, from experience, the sequence of actions
to perform in an uncertain environment in order to achieve some
goals. Sequential decision-making tasks cover a wide range of possible
applications with the potential to impact many domains, such as
robotics, healthcare, smart grids, fifinance, self-driving cars, and many
more.
This is the task of deciding, from experience, the sequence of actions
to perform in an uncertain environment in order to achieve some
goals. Sequential decision-making tasks cover a wide range of possible
applications with the potential to impact many domains, such as
robotics, healthcare, smart grids, fifinance, self-driving cars, and many
more.
Categorías:
Volumen:
11
Año:
2018
Editorial:
now
Idioma:
english
Páginas:
140
Serie:
Foundations and Trends in Machine Learning
Archivo:
PDF, 2.46 MB
IPFS:
,
english, 2018
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