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"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents application…
Multi-Agent Machine Learning
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Type: Book
"This book discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology, offering a collection that covers conceptual frameworks, case studies, and analysis"-
Agent-based computational modeling is changing the face of social science. This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogene…
Agent-based computational modeling is changing the face of social science. This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogene…
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Author Bios -- Preface -- 1. Introduction and Mathematical Background -- 1.1. Multi-Agent Coordination -- 1.1.1. Control Architectures -- 1.1.2. Potential Applications -- 1.1.3. Research Topics -- 1.2. Robust Pro…
"This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a predictive and observation perspective. The volume covers a wide range of applications, su…
Logic Programming was founded 25 years ago. This exciting new text reveals both the evolution of this programming paradigm since its inception and the impressively broad scope of current research in Logic Programming. The contributions to the book deal with both theoretical and …