1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2021
Learning Numerical Action Models from Noisy Input Data
José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez
This paper presents the PlanMiner-N algorithm, a domain learning technique based on the PlanMiner domain learning algorithm. The algorithm presented here improves the learning capa…
cs.AI2020★ 1 cited
Goal Reasoning by Selecting Subgoals with Deep Q-Learning
Carlos Núñez-Molina, Vladislav Nikolov, Ignacio Vellido +1
In this work we propose a goal reasoning method which learns to select subgoals with Deep Q-Learning in order to decrease the load of a planner when faced with scenarios with tight…