2 papers
cs.LG2024
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari +1
We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely rela…
cs.RO2024
Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses
Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice +3
Multi-Agent Path Finding (MAPF) is an important optimization problem underlying the deployment of robots in automated warehouses and factories. Despite the large body of work on th…