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.
If You Find Any Dead LInk Please Send Me PVT MSG

Code:
Download (Uploadgig) https://uploadgig.com/file/download/b4bb9Ddaa88ffFc0/g9t6r.Foundations.of.Deep.Reinforcement.Learning.Theory.and.Practice.in.Python.rar Download ( Rapidgator ) https://rapidgator.net/file/2b755ab971c386bb2ae301bdb7dce119/g9t6r.Foundations.of.Deep.Reinforcement.Learning.Theory.and.Practice.in.Python.rar.html Download ( NitroFlare ) http://nitroflare.com/view/C4608C8E8504FD3/g9t6r.Foundations.of.Deep.Reinforcement.Learning.Theory.and.Practice.in.Python.rar