Multi-Agent Reinforcement Learning（Stefano V. Albrecht Filippos Christianos Lukas Schäfer）（MIT Press 2024）

  • 书名：Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
  • 出版社：MIT Press
  • 作者：Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
  • 出版年份：0
  • 电子书格式： pdf
  • 简介：Dive into the cutting-edge field of Multi-Agent Reinforcement Learning with this comprehensive guide from MIT Press. Authors Stefano V. Albrecht, Filippos Christianos, and Lukas Schäfer provide a detailed exploration of MARL algorithms, applications, and challenges. Learn about collaborative and competitive multi-agent systems, advanced techniques like deep multi-agent reinforcement learning, and real-world applications in robotics, game playing, and more. This book is essential reading for researchers, students, and professionals seeking to master this rapidly evolving area of artificial intelligence.
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