1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Revisiting Bellman Errors for Offline Model Selection
Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal +1
Offline model selection (OMS), that is, choosing the best policy from a set of many policies given only logged data, is crucial for applying offline RL in real-world settings. One…
cs.CV2020★ 1 cited
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification
Daniel de Marchi, Amarjit Budhiraja
One of the key steps in building deep learning systems for drug classification and generation is the choice of featurization for the molecules. Previous featurization methods have…