2 citations · 2 across the 2 of their papers we have counts for
3 papers
A Jury, Not an Electorate: Label-Free Reliability Estimation for Ensembles of Language Models
Alessandro Rozza, Davide Mambelli, Steven Motta +1
An ensemble of language models is a jury, not an electorate. The answers are testimony from witnesses of unknown reliability, and the question is not what the majority said but who…
When Do Off-Policy and On-Policy Policy Gradient Methods Align?
Davide Mambelli, Stephan Bongers, Onno Zoeter +2
Policy gradient methods are widely adopted reinforcement learning algorithms for tasks with continuous action spaces. These methods succeeded in many application domains, however,…
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli, Frederik Träuble, Stefan Bauer +2
Although reinforcement learning has seen remarkable progress over the last years, solving robust dexterous object-manipulation tasks in multi-object settings remains a challenge. I…