def get_best_action(self, coordinates, shape):
highest_value = -10000000000
selected_actions = []
allowed_actions = Action.get_allowed_action(coordinates, shape)
for action in allowed_actions:
value = self._q_table[action]
# if this was the highest value yet, then clear all the items in selected action
if value > highest_value:
selected_actions.clear()
highest_value = value
selected_actions.append(action)
# if the value was equal to previous selected values, then append the action to list
elif value == highest_value:
selected_actions.append(action)
# choose from the action list randomly as this list contains values that are all equal
return random.choice(selected_actions)
def get_random_action(self, coordinates, shape):
allowed_actions = Action.get_allowed_action(coordinates, shape)
return random.choice(allowed_actions)