2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
On the benefits of pixel-based hierarchical policies for task generalization
Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind +1
Reinforcement learning practitioners often avoid hierarchical policies, especially in image-based observation spaces. Typically, the single-task performance improvement over flat-p…
stat.AP2022★ 2 cited
Targeted learning in observational studies with multi-valued treatments: An evaluation of antipsychotic drug treatment safety
Jason Poulos, Marcela Horvitz-Lennon, Katya Zelevinsky +6
We investigate estimation of causal effects of multiple competing (multi-valued) treatments in the absence of randomization. Our work is motivated by an intention-to-treat study of…