def step(self, obs):
super(ReinforcementMarineAgent, self).step(obs)
observations = Observations(obs)
if observations.first():
self.commander = QLearningCommander(self.name())
elif observations.last():
game_results = GameResultsTable(self.name())
game_info = FinishedGameInformationDetails(self.steps, "unknown")
game_results.append(observations.reward(),
observations.score_cumulative(), game_info)
return self.commander.order(observations,
self.steps).execute(observations)
def step(self, obs):
super(BuildOrderAgent, self).step(obs)
observations = Observations(obs)
if observations.first():
base_location = Location(observations)
self.commander = GameCommander(base_location)
elif observations.last():
game_results = GameResultsTable(self.name())
game_info = FinishedGameInformationDetails(self.steps, "unknown")
game_results.append(observations.reward(),
observations.score_cumulative(), game_info)
if self.debug:
time.sleep(0.5)
return self.commander.order(observations,
self.steps).execute(observations)
def step(self, obs):
super(HybridAttackReinforcementAgent, self).step(obs)
observations = Observations(obs)
if observations.first():
base_location = Location(observations)
self.enemy_detector = EnemyDetector()
self.commander = HybridGameCommander(base_location, self.name(),
self.enemy_detector)
elif observations.last():
game_results = GameResultsTable(self.name())
game_info = FinishedGameInformationDetails(
self.steps, self.enemy_detector.race())
game_results.append(observations.reward(),
observations.score_cumulative(), game_info)
return self.commander.order(observations,
self.steps).execute(observations)