Autonomous and Adaptive Systems 2020-21

Overview

The goal of this module is to provide a solid introduction to the design of autonomous and adaptive computing systems from a theoretical and practical point of view. Topics will include principles of autonomous system design, reinforcement learning, game-theoretic approaches to cooperation and coordination, bio-inspired systems, complex adaptive systems, and computational social systems. The module will also cover several practical applications from a variety of fields including but not limited to distributed and networked systems, mobile and ubiquitous systems, robotic systems, and vehicular and transportation systems.

Link to official course page containing syllabus and textbooks


Notices

The first lecture will take place on 22 February 2021.


Mailing List of the Course

Please join the mailing list of the course by signing up through this form.


Slides

Introduction to the Course

Introduction to Intelligent and Autonomous Agents

Introduction to Reinforcement Learning



Last updated: 21 February 2021.