The First Comprehensive Introduction To Multi-agent Reinforcement Learning (marl), Covering Marls Models, Solution Concepts, Algorithmic Ideas, Technical Challenges, And Modern Approaches.multi-agent Reinforcement Learning (marl), An Area Of Machine Learning In Which A Collective Of Agents Learn To Optimally Interact In A Shared Environment, Boasts A Growing Array Of Applications In Modern Life, From Autonomous Driving And Multi-robot Factories To Automated Trading And Energy Network Management. This Text Provides A Lucid And Rigorous Introduction To The Models, Solution Concepts, Algorithmic Ideas, Technical Challenges, And Modern Approaches In Marl. The Book First Introduces The Fields Foundations, Including Basics Of Reinforcement Learning Theory And Algorithms, Interactive Game Models, Different Solution Concepts For Games, And The Algorithmic Ideas Underpinning Marl Research.