Multi-Agent System

Table of Contents

Multi-Agent Systems is a fascinating and crucial field in modern artificial intelligence, with extensive applications and intersections with multiple disciplines. This course offers a systematic introduction to the field, equipping learners with in-depth knowledge and practical skills.

Course Objectives:

  • Master the basic concepts of multi-agent systems.
  • Master the common forms of games and game analysis methods.
  • Master the common reinforcement learning and multi-agent reinforcement learning methods.
  • Implement algorithms and apply them to practical problems.

Prerequisite Knowledge:

  • Calculus, Linear Algebra, Probability Theory.
  • Basics of Artificial Intelligence / Machine Learning (Supervised Learning).
  • Python programming and the usage of related tools / libraries.
  • Basic experience in GPU training.

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