Reinforcement Learning: An Introduction, Second Edition (2018)
简介：
本书清楚而简单地介绍了强化学习 (RL) 领域的关键思想和算法。与第一版一样，第二版侧重于核心在线学习算法，在阴影框中设置了更多的数学材料。所有相关学科的读者都可以使用该治疗方法。这本书是强化学习的圣经，鉴于该领域的新兴活动，新版本特别及时。任何对学习行动的问题感兴趣的人 -- 学生、研究人员、从业者或好奇的非专家 -- 都不应该没有它。
英文简介：
This book provides a clear and simple account of the field's key ideas and algorithms of Reinforcement Learning (RL).
Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. The treatment to be accessible to readers in all of the related disciplines.
This book is the bible of reinforcement learning, and the new edition is particularly timely given the burgeoning activity in the field. No one with an interest in the problem of learning to act - student, researcher, practitioner, or curious nonspecialist - should be without it.
- 书名
- Reinforcement Learning: An Introduction, Second Edition (2018)
- 译名
- 强化学习：导论，第二版
- 语言
- 英语
- 年份
- 2018
- 页数
- 548页
- 大小
- 41.61 MB
- 标签
- 强化学习
- 机器学习
- 下载
Reinforcement Learning: An Introduction, Second Edition (2018).pdf- 密码
- 65536
最后更新：2025-04-12 23:58:07