15 citations · 16 across the 3 of their papers we have counts for
3 papers
Learning to Select Goals in Automated Planning with Deep-Q Learning
Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez
In this work we propose a planning and acting architecture endowed with a module which learns to select subgoals with Deep Q-Learning. This allows us to decrease the load of a plan…
Planning from video game descriptions
Ignacio Vellido, Carlos Núñez-Molina, Vladislav Nikolov +1
This project proposes a methodology for the automatic generation of action models from video game dynamics descriptions, as well as its integration with a planning agent for the ex…
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…