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Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Foundations of Deep Reinforcement Learning: Theory and Practice in Python 0.0分

资源最后更新于 2020-08-23 16:19:35

作者:Laura Graesser

出版社:Addison-Wesley Professional

出版日期:2019-01

ISBN:9780135172506

文件格式: pdf

标签: 机器学习 计算机 编程 强化学习

简介· · · · · ·

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–...

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