Название: Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Rough Cuts)Автор: Laura Graesser, Wah Loon Keng
Издательство: Addison-Wesley Professional
Год: 2019
Формат: epub/pdf(conv.)
Размер: 29.1 Mb
Язык: English
The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice
Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games—such as Go, Atari games, and DotA 2—to robotics.
