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Lecture notes on reinforcement learning
Reinforcement learning is an appealing subject. Firstly, it is a very general concept: an agent interacts with an environment with the goal to maximize
the rewards it receives from the environment.



AI Science and High School Mathematics
This lecture addresses the challenge to explain the AI science basics using only High school Mathematics. Luckily enough, it has been proven to be a successful and very interesting undertaking.

3D-Flood Dataset
The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; st



Course on Continual Learning (given at ESSAI 2023)
5 lectures on continual learning, given at ESSAI 2023.



Digital Painting Analysis and Conservation
This lecture overviews an important topic of Digital Humanities, namely digital painting analysis that has many applications in painting conservation and in the history of arts.



AI, System Complexity, Life, Intelligence and Environment
This lecture overviews the relation between matter and system complexity on one hand and Life, Intelligence and Environment on the other one. First the theoretical tools (systems, graph and network theory) are overviewed.