The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochast

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical cha

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochast

This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This b

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