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cs.LG2021★ 1 cited
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Ricardo Vinuesa, Beril Sirmacek
We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well as data-driven s…
cs.LG2021★ 1 cited
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
Nicolò Botteghi, Mannes Poel, Beril Sirmacek +1
Deep Reinforcement Learning has shown its ability in solving complicated problems directly from high-dimensional observations. However, in end-to-end settings, Reinforcement Learni…