Reinforcement Learning: Industrial Applications of Intelligent Agents 1st Edition
CEO of Winder.AI, author of "Reinforcement Learning"
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. This is no cookbook; doesn't shy away from math and expects familiarity with ML.
BOOK EPISODE
How to Leverage Reinforcement Learning
Find out what reinforcement learning is, how to leverage its unique features and how to start using it with Phil Winder, author of "Reinforcement Learning" and CEO of Winder Research, and Rebecca Nugent, Stephen E. and Joyce Fienberg Professor of Statistics & Data Science at Carnegie Mellon University.
Watch the video
