Hands On Q Learning with Python: Practical Q learning with OpenAI Gym, Keras, and TensorFlow By: Nazia Habib | PDF | 9.48 MiB
April 19th 2019 | ASIN: B07R3369XW | 214 pages
Author: Nazia Habib
Leverage the power of reward-based training for your deep learning models with Python
Key Features
Use Q-learning to train deep learning models using Markov decision processes (MDPs) Study practical deep reinforcement learning using deep Q-networks Explore state-based unsupervised learning for machine learning models Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as frameworks such as Keras and TensorFlow.Â*
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