Reinforcement Learning: Industrial Applications of Intelligent Agents by Phil Winder
Requirements: .PDF reader, 18 mb
Overview: 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 reinforcement and enable a machine to learn by 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, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://rapidgator.net/file/9068860de88 … g.pdf.html
https://ouo.io/ooARQin
