Multi-Agent Coordination

Released on by Arup Kumar Sadhu
preview-18

  • Multi-Agent Coordination Book Detail

  • Author : Arup Kumar Sadhu
  • Release Date : 2020-11-25
  • Publisher : John Wiley & Sons
  • Genre : Computers
  • Pages : 320
  • ISBN 13 : 1119698995
  • File Size : 33,33 MB
DOWNLOAD BOOK

Multi-Agent Coordination by Arup Kumar Sadhu PDF Summary

Book Description: Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.

Disclaimer: www.yourbookbest.com does not own Multi-Agent Coordination books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Multi-Agent Coordination

Multi-Agent Coordination

File Size : 67,67 MB
Total View : 8405 Views
DOWNLOAD

Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Lea

Swarm, Evolutionary, and Memetic Computing

Swarm, Evolutionary, and Memetic Computing

File Size : 30,30 MB
Total View : 8550 Views
DOWNLOAD

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Compu