Autonomous and Adaptive Systems 2019-2020

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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 next lecture will be on 30 March 2020 at the regular times. It will be delivered online through Teams as in the previous weeks.

Mailing List of the Course

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Slides

Introduction to the Course

Introduction to Intelligent and Autonomous Agents

Introduction to Reinforcement Learning

Multi-armed Bandits

Monte Carlo Methods

Temporal Difference Learning

Introduction to Deep Learning I

Introduction to Deep Learning II


Last updated: 30 March 2020.