TY  - GEN 
AU  - Segura Muros, José Ángel
AU  - Pérez Rodríguez, Francisco G.Raúl
AU  - Fernández Olivares, Juan
PY  - 2021
UR  - https://hdl.handle.net/10481/99109
AB  - In this paper, we propose a domain learning process build on a machine learning-based process that, starting from plan traces with (partially known) intermediate states, returns a planning domain with numeric predicates, and expressive...
LA  - eng
PB  - Springer
KW  - Automated Planning
KW  - Machine Learning
KW  - Planning domain learning
KW  - Symbolic regression
TI  - Discovering relational and numerical expressions from plan traces for learning action models
DO  - 10.1007/s10489-021-02232-6
ER  -