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Mastering the Game of Go

23 minute read

Published:

A summary and explanation of the milestone papers ‘Mastering the game of Go with deep neural networks and tree search’ and ‘Mastering the Game of Go without Human Knowledge’ by David Silver et al., exploring the development of AlphaGo and AlphaGo Zero.

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Parameter-dependent self-learning optimization

Published in University of Stuttgart (Bachelor Thesis), 2022

This paper was created in the context of my bachelor thesis. The goal was to develop a self-learning optimization algorithm that can adapt to the problem at hand. The algorithm was tested on a set of benchmark functions and compared to other optimization algorithms. The results show that the algorithm is able to adapt to the problem at hand and outperforms other algorithms in some cases.

Recommended citation: Abu El Komboz, Tareq. "Parameter-dependent self-learning optimization ". BS thesis. 2022. [PDF]

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