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cs.LG2022★ 1 cited
Learning to Optimize with Dynamic Mode Decomposition
Petr Šimánek, Daniel Vašata, Pavel Kordík
Designing faster optimization algorithms is of ever-growing interest. In recent years, learning to learn methods that learn how to optimize demonstrated very encouraging results. C…
cs.SE2022★ 21 cited
An Agent-based Approach to Automated Game Testing: an Experience Report
I. S. W. B. Prasetya, Fernando Pastor Ricós, Fitsum Kifetew +8
Computer games are very challenging to handle for traditional automated testing algorithms. In this paper we will look at intelligent agents as a solution. Agents are suitable for…