Neural Network Heuristics for Numeric Planning: A Preliminary Study

Heuristic search is a key technique in almost all types of automated planning approaches. Various works have shown that black-box approaches, such as neural networks and deep neural networks, can be used to learn a heuristic competitive with the state of the heuristics for classical planning problems. However little to no work has been done regarding numeric planning problems. In our work we are investigating if similar methods can also be applied to numeric planning problems, and how they can be improved in a numeric planning context.