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Schwartz, H. M.

Multi-Agent Machine Learning: A Reinforcement Approach

Schwartz, H. M. - Multi-Agent Machine Learning: A Reinforcement Approach, e-kirja

107,25€

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ISBN: 9781118884485
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Tulostus77 sivua ja lisä sivu kertyy joka 10. tunti, ylärajana 77 sivua
Kopioi leikepöydälle5 poimintoa

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid games—two player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits.

•Framework for understanding a variety of methods and approaches in multi-agent machine learning.

•Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning

•Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering

Avainsanat: Multi-Agent Machine Learnings, Mobile Robotics, Multi-Agent Systems, Game Theoretics, Single-Agent Reinforcement Learning, Multi-Agent Q-Learning, Learning Differential Games, Learning in Robotic Swarms, Mobile & Wireless Communications, Computational & Graphical Statistics, Mobile & Wireless Communications, Computational & Graphical Statistics

Tekijä(t)
Julkaisija
John Wiley and Sons, Inc.
Julkaisuvuosi
2014
Kieli
en
Painos
1
Sivumäärä
256 sivua
Kategoria
Tekniikka, energia, liikenne
Tiedostomuoto
E-kirja
eISBN (ePUB)
9781118884485
Painetun ISBN
9781118362082

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