2 papers
cs.NE2026
Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
Berfin Sakallioglu, Giorgia Nadizar, Eric Medvet
Multi-task policy search is a challenging problem because policies are required to generalize beyond training cases. Curriculum learning has proven to be effective in this setting,…
cs.LG2024
Problem-oriented AutoML in Clustering
Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet +1
The Problem-oriented AutoML in Clustering (PoAC) framework introduces a novel, flexible approach to automating clustering tasks by addressing the shortcomings of traditional AutoML…