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£159.99
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24 days of data · current price £160
Springer Deep Reinforcement Learning for Robust Agent Systems
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Description
Key Features
Deep Reinforcement Learning for Robust Agent Systems is published by Springer, a leading academic publisher in computing and AI research.
This book focuses specifically on building robust agent systems, addressing reliability and performance in complex learning environments.
The content covers both theoretical foundations and practical implementations of deep reinforcement learning methodologies.
Ideal for researchers, practitioners, and advanced students in AI and machine learning pursuing specialized knowledge in agent systems.
Provides essential frameworks and techniques for developing agents that adapt and learn effectively in dynamic conditions.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 9819260701
- Domain
- Amazon UK
- Release Date
- 23 November 2026
- Listed Since
- 19 August 2026
Barcode
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