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)