Multi-Agent Coordination: A Reinforcement Learning Approach

by Amit Konar and Arup Kumar Sadhu

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 traditional multi-agent Q-learning (MAQL) algorithms in view of the team-goal exploration, where team-goal exploration refers to simultaneous exploration of individual goals. Chapter 3 proposes the novel...

• Format: Hardcover
• Language: English
• ISBN: 1119699037
• ISBN13: 9781119699033
• Release Date: December 2020
• Publisher: Wiley-IEEE Press
• Length: 320 Pages
• Weight: 1.31 lbs.
• Dimensions: 0.8" x 6.0" x 9.0"