2 papers
cs.LG2026
MuRAL-CPD: Active Learning for Multiresolution Change Point Detection
Stefano Bertolasi, Diego Carrera, Diego Stucchi +2
Change Point Detection (CPD) is a critical task in time series analysis, aiming to identify moments when the underlying data-generating process shifts. Traditional CPD methods ofte…
cs.LG2024
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning
Flora Angileri, Giulia Lombardi, Andrea Fois +9
In 2021, Adam Zsolt Wagner proposed an approach to disprove conjectures in graph theory using Reinforcement Learning (RL). Wagner's idea can be framed as follows: consider a conjec…