Deep Reinforcement Learning

#artificialintelligence 

This article provides an excerpt "Deep Reinforcement Learning" from the book, Deep Learning Illustrated by Krohn, Beyleveld, and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment. A complementary Domino project is available. Recent feats in machine learning, like developing a program to defeat a human in a game Go, have been powered by reinforcement learning. Reinforcement learning is the process of training a program to attain a goal through trial and error by incentivizing it with a combination of rewards and penalties.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found