Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
by Maxim Lapan
Explore modern reinforcement learning through practical applications in chatbots, robotics, discrete optimization, web automation, and more. This hands-on guide focuses on applying deep reinforcement learning methods to real-world computational problems, making it a useful resource for readers interested in artificial intelligence and programming.
About This Book
Deep Reinforcement Learning Hands-On introduces modern reinforcement learning methods through a practical, application-focused approach.
The book explores reinforcement learning for chatbots, robotics, discrete optimization, web automation, and related problems.
It is designed for readers seeking to apply reinforcement learning techniques to practical challenges rather than study the subject only in theory.
Examples across multiple application areas provide a broad view of how deep reinforcement learning can be used in different computational settings.
Reviews
No reviews yet. Be the first to review this book!