Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Foundations of Deep Reinforcement Learning: Theory and Practice in Python by Laura Graesser
English | 2020 | ISBN: 0135172381 | 817 Pages | EPUB | 24 MB

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.