Code: 28319434
Multi-Agent Coordination - A Reinforcement Learning Approach
by Arup Kumar Sadhu, Amit Konar
This book explores the usage of Reinforcement Learning for Multi-Agent Coordination. Chapter 1 introduces fundamentals of the multi-robot coordination. Chapter 2 offers two useful properties, which have been developed to speed-up ... more
- Language:
English - Binding: Hardback
- Number of pages: 320
Publisher: John Wiley and Sons Ltd, 2021
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128 €
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Book synopsis
This book explores the usage of Reinforcement Learning for Multi-Agent Coordination. Chapter 1 introduces fundamentals of the multi-robot coordination. Chapter 2 offers two useful properties, which have been developed to speed-up the convergence of trad
Book details
Book category Books in English Computing & information technology Computer science Artificial intelligence
128 €
- Full title: Multi-Agent Coordination - A Reinforcement Learning Approach
- Author: Arup Kumar Sadhu, Amit Konar
- Language: English
- Binding: Hardback
- Number of pages: 320
- EAN: 9781119699033
- ISBN: 1119699037
- ID: 28319434
- Publisher: John Wiley and Sons Ltd
- Weight: 592 g
- Dimensions: 160 × 239 × 25 mm
- Date of publishing: 22. January 2021
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