New PDF release: Multi-Agent Machine Learning: A Reinforcement Approach

New PDF release: Multi-Agent Machine Learning: A Reinforcement Approach

By H. M. Schwartz

ISBN-10: 111836208X

ISBN-13: 9781118362082

The ebook starts with a bankruptcy on conventional equipment of supervised studying, protecting recursive least squares studying, suggest sq. mistakes tools, and stochastic approximation. bankruptcy 2 covers unmarried agent reinforcement studying. subject matters comprise studying price services, Markov video games, and TD studying with eligibility lines. bankruptcy three discusses participant video games together with participant matrix video games with either natural and combined concepts. a number of algorithms and examples are offered. bankruptcy four covers studying in multi-player video games, stochastic video games, and Markov video games, concentrating on studying multi-player grid games—two participant grid video games, Q-learning, and Nash Q-learning. bankruptcy five discusses differential video games, together with multi participant differential video games, actor critique constitution, adaptive fuzzy keep an eye on and fuzzy interference platforms, the evader pursuit video game, and the protecting a territory video games. bankruptcy 6 discusses new rules on studying inside of robot swarms and the cutting edge thought of the evolution of character traits.

• Framework for knowing various tools and techniques in multi-agent laptop learning.

• Discusses equipment of reinforcement studying comparable to a couple of kinds of multi-agent Q-learning

• Applicable to analyze professors and graduate scholars learning electric and machine engineering, computing device technological know-how, and mechanical and aerospace engineering

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Multi-Agent Machine Learning: A Reinforcement Approach by H. M. Schwartz

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