Deep Reinforcement Learning in Action
Autor Alexander Zai, Brandon Brownen Limba Engleză Paperback – 28 apr 2020
Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you'll need to implement it into your own projects.
Key features
• Structuring problems as Markov Decision Processes
• Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them
• Applying reinforcement learning algorithms to real-world problems
Audience
You'll need intermediate Python skills and a basic understanding of deep learning.
About the technology
Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that's not all it can do!
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Specificații
ISBN-13: 9781617295430
ISBN-10: 1617295434
Pagini: 325
Dimensiuni: 186 x 232 x 22 mm
Greutate: 0.72 kg
Editura: Manning Publications
ISBN-10: 1617295434
Pagini: 325
Dimensiuni: 186 x 232 x 22 mm
Greutate: 0.72 kg
Editura: Manning Publications