2 papers
cs.NE2025
Benchmarking MOEAs for solving continuous multi-objective RL problems
Carlos Hernández, Roberto Santana
Multi-objective reinforcement learning (MORL) addresses the challenge of simultaneously optimizing multiple, often conflicting, rewards, moving beyond the single-reward focus of co…
math.OC2020
Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty
Carlos Ignacio Hernández Castellanos, Sina Ober-Blöbaum, Sebastian Peitz
In real-world problems, uncertainties (e.g., errors in the measurement, precision errors) often lead to poor performance of numerical algorithms when not explicitly taken into acco…