Foundations of Deep Reinforcement Learning: Theory and Practice in Python
by Laura Graesser
English | 2020 | ISBN: 0135172381 | 817 Pages | PDF MOBI EPUB | 62 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.
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