Autonomous and Adaptive Systems 2022-23
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
None.
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Slides
Intelligent Agents and Machines
Introduction to Reinforcement Learning
Introduction To Deep Learning and Neural Architectures I
Introduction To Deep Learning and Neural Architectures II
Introduction To Deep Learning and Neural Architectures III
Function Approximation Methods
Introduction to TensorFlow and Keras
Reinforcement Learning with TensorFlow
Seminar
AI Creativity (Giorgio Franceschelli, University of Bologna)
Notebooks
Last updated: 9 June 2023.