Source code for amlgym.algorithms.PassiveAlgorithmAdapter

import abc
from dataclasses import dataclass
from typing import List


[docs]@dataclass class PassiveAlgorithmAdapter(abc.ABC): """ An abstract class for an action model learning algorithm, which defines the abstract interface that must be implemented by every (subclass) algorithm adapter to enable automated evaluation. """
[docs] @abc.abstractmethod def learn(self, domain_path: str, trajectory_paths: List[str]) -> str: """ Learns a PDDL action model from: (i) a (possibly empty) input model which is required to specify the predicates and operators signature; (ii) a list of trajectory file paths. :parameter domain_path: input PDDL domain file path :parameter trajectory_paths: list of trajectory file paths :return: a string representing the learned PDDL model """ raise NotImplementedError