Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties. It aims to maximize cumulative rewards over time by adjusting its actions based on feedback.

Alisa Tsybina (DE)

Installation view of Alisa Tsybina Satin und Bedeutungsverschlei├č at the exhibition other AI at Lobe Block, Berlin 2023; Photo: Jacopo La Forgia
Installation view of Alisa Tsybina Heiligstes Herz und Kadmiumorange, Lindwurm und Ultramarinblau & Backpiece von 2003 at the exhibition other AI at Lobe Block, Berlin 2023; Photo: Jacopo La Forgia
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