3 papers
cs.LG2025
Solve it with EASE
Adam Viktorin, Tomas Kadavy, Jozef Kovac +2
This paper presents EASE (Effortless Algorithmic Solution Evolution), an open-source and fully modular framework for iterative algorithmic solution generation leveraging large lang…
cs.LG2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction
Ana Nikolikj, Michal Pluháček, Carola Doerr +2
Leave-one-problem-out (LOPO) performance prediction requires machine learning (ML) models to extrapolate algorithms' performance from a set of training problems to a previously uns…
cs.RO2023
Decentralised construction of a global coordinate system in a large swarm of minimalistic robots
Michal Pluhacek, Simon Garnier, Andreagiovanni Reina
Collective intelligence and autonomy of robot swarms can be improved by enabling the individual robots to become aware they are the constituent units of a larger whole and what is…