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.
Kategori:
Jilid:
11
Tahun:
2018
Penerbit:
now
Bahasa:
english
Halaman:
140
Nama seri:
Foundations and Trends in Machine Learning
File:
PDF, 2.46 MB
IPFS:
,
english, 2018
Amazon 
Barnes & Noble 
Bookshop.org
Ingin menambahkan toko buku? Hubungi kami melalui support@z-lib.fm
Konversi file
Lebih banyak hasil pencarian
Manfaat yang lain 
Istilah kunci
Daftar buku terkait
