def _generate_covering_classifier(self, state, match_set):
self.covering_occur_num += 1
clas = Classifier(self.parameters, self.env, state)
used_actions = [classifier.action for classifier in match_set]
available_actions = list(
set(range(self.env.num_actions)) - set(used_actions))
clas.action = numpy.random.choice(available_actions)
clas.time_stamp = self.time_stamp
return clas
