Graesser L., Keng W.L. Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Addison-Wesley Professional, 2020. — 817 p. — Addison-Wesley Professional, 2019. — 655 p. —Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games — such as Go, Atari games, and DotA 2 — to robotics.