3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2026
ATLAS: Active Theory Learning for Automated Science
Noémi Éltető, Nathaniel D. Daw, Kimberly L. Stachenfeld +1
Advancing scientific understanding through mechanistic modeling requires posing the right experimental questions to yield maximally informative data. To automate this pursuit withi…
cs.AI2023★ 3 cited
Habits of Mind: Reusing Action Sequences for Efficient Planning
Noémi Éltető, Peter Dayan
When we exercise sequences of actions, their execution becomes more fluent and precise. Here, we consider the possibility that exercised action sequences can also be used to make p…