def _selectAction(self, recommended_a_id=None):
# if no action is recommended or we randomly roll below our
# random_action_rate, select a random action. TODO it might be a good idea
# to have state similarity here to pick a closest observed action
possible_actions = getValidActionsInState(self.s)
possible_action_ids = [
Database.upsertAction(action) for action in possible_actions
]
if not recommended_a_id or np.random.random(
) < self.random_action_rate or recommended_a_id not in possible_action_ids:
random_action_index = np.random.randint(len(possible_action_ids))
random_action_id = possible_action_ids[random_action_index]
self._printIfVerbose("agent randomly chose",
possible_actions[random_action_index])
return random_action_id, possible_actions[random_action_index]
else:
action = Database.getAction(recommended_a_id)
self._printIfVerbose("agent chose", action)
Stats.recordStat("{}{}".format(
"chosen_action={}".format(action["action"]),
"_id={}".format(action["card_id"])
if "card_id" in action and action["card_id"] != None else ""))
return recommended_a_id, action
