->

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.


Foundations of Deep Reinforcement Learning: Theory and Practice in Python


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 osheemex   |  




rss