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Könyv Deep Reinforcement Learning in Action Alexander Zai

Deep Reinforcement Learning in Action

Szerző: Alexander Zai, Brandon Brown
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Manning Publications
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
18 796 Ft
Humans learn best from feedback-we are encouraged to take actions that lead to positive results whil...

Információk a könyvről

Szerző
Alexander Zai, Brandon Brown
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2020
oldal
325
EAN
9781617295430
ISBN
1617295434
Enbook ID
22471924
Kiadó
Manning Publications
Súly
720
Méretek
234 x 188 x 23

Teljes leírás

Humans learn best from feedback-we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. 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 problemsAudienceYou'll need intermediate Python skills and a basic understanding of deep learning.About the technologyDeep 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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