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
Автор: Hao Dong, Zihan Ding, Shanghang Zhang
Издательство: Springer
Год: 2020
Страниц: 526
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB
Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.