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Book Summary
About the Book: Reinforcement Learning:Industrial Applica- tions of Intelligent
Agents
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI
over the next decade, enabling algorithms to learn from their environment to
achieve arbitrary goals. This exciting development avoids constraints found in
traditional machine learning (ML) algorithms. This practical book shows data
science and AI professionals how to learn by reinforcement and enable a machine
to learn by itself. Author Phil Winder of Winder Research covers everything from
basic building blocks to state-of-the-art practices. Youll explore the current
state of RL, focus on industrial applications, learn numerous algorithms, and
benefit from dedicated chapters on deploying RL
- ISBN-13
- 9789385889509
- Language
- English
- Binding
- Paper Back
- Publisher
- Shroff Publishers & Distributors
- Publishing Date
- 2020-11-24
- Product Edition
- 1
- Total Pages
- 408
Oreilly Reinforcement Learning : Industrial Applications Of Intelligent Agents
by Phil Winder (Author),
Shroff Publishers & Distributors (Publisher)
fictionfantasyyoung adultaward winning
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Product Specifications
Book Summary
About the Book: Reinforcement Learning:Industrial Applica- tions of Intelligent
Agents
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI
over the next decade, enabling algorithms to learn from their environment to
achieve arbitrary goals. This exciting development avoids constraints found in
traditional machine learning (ML) algorithms. This practical book shows data
science and AI professionals how to learn by reinforcement and enable a machine
to learn by itself. Author Phil Winder of Winder Research covers everything from
basic building blocks to state-of-the-art practices. Youll explore the current
state of RL, focus on industrial applications, learn numerous algorithms, and
benefit from dedicated chapters on deploying RL
Book Specifications
- ISBN-13
- 9789385889509
- Language
- English
- Binding
- Paper Back
- Publisher
- Shroff Publishers & Distributors
- Publishing Date
- 2020-11-24
- Product Edition
- 1
- Total Pages
- 408