Reinforcement Learning: Industrial Applications of Intelligent Agents
By 作者:Phil Winder Ph. D.
Release Finelybook 出版日期:December 2020
Publisher Finelybook 出版社:O'Reilly Media
pages 页数: Paperback
The Book Description robot was collected from Amazon and arranged by Finelybook
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn By 作者:reinforcementand enable a machine to learn By 作者:itself.
Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You’ll explore the current state of RL, focus on industrial applications, learnnumerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn’t shy away from math and expects familiarity with ML.
Learn what RL is and how the algorithms help solve problems
Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning
Dive deep into a range of value and policy gradient methods
Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning
Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more
Get practical examples through the accompanying website