This document is an introduction to the book "Foundations of Deep Reinforcement Learning". It discusses how the authors were first introduced to deep reinforcement learning through DeepMind's successes. They realized it was a challenging but exciting new area of machine learning. The book aims to integrate the theory and practice of deep reinforcement learning algorithms by introducing concepts and providing example code implementations. It is intended for students and engineers to learn deep reinforcement learning in an accessible way.

(Addison-Wesley Data & Analytics Series) Laura Graesser - Wah Loon Keng - Foundations of Deep Reinforcement Learning - Theory and Practice in Python-Addison-Wesley Professional (2019) PDF

(Addison-Wesley Data & Analytics Series) Laura Graesser - Wah Loon Keng - Foundations of Deep Reinforcement Learning - Theory and Practice in Python-Addison-Wesley Professional (2019) PDF PDF

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