Packt Publishing, 2017. — 336 p. Master different reinforcement learning techniques and their practical implementation using OpenAI Gym, Python and Java Reinforcement learning (RL) is becoming a popular tool for constructing autonomous systems that can improve themselves with experience. We will break the RL framework into its core building blocks, and provide you with details...
Packt Publishing, 2021. — 472 p. — ISBN: 9781838982546. Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning. Key Features Develop and deploy deep reinforcement learning-based solutions to production pipelines, products, and services. Explore popular reinforcement learning algorithms such as Q-learning,...
Packt, 2018. — 318 p. — ISBN13: 978-1-78883-652-4. A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the...
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