def classifierGenerator(self):
if self.game.team.name == 'Red':
botID = int(os.environ['red_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
elif self.game.team.name == 'Blue':
botID = int(os.environ['blue_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
if classifier != None:
self.botID = botID
return classifier
else:
classifier = {
commands.Attack: [[regressions.attackRegression, 1],
[regressions.botsInSightCone, 1]],
'currentAction': [[regressions.currentActionRegression, 1],
[regressions.botsInSightCone, 1]],
commands.Charge: [[regressions.chargeRegression, 1],
[regressions.botsInSightCone, 1]],
commands.Move: [
[regressions.moveRegression, 1],
[regressions.botsInSightCone, 1],
],
commands.Defend: [[regressions.defendRegression, 1],
[regressions.botsInSightCone, 1]]
}
return classifier
def classifierGenerator(self):
if self.game.team.name == 'Red':
botID = int(os.environ['red_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
elif self.game.team.name == 'Blue':
botID = int(os.environ['blue_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
if classifier != None:
self.botID = botID
return classifier
else:
classifier = {
commands.Attack : [[regressions.attackRegression, 1],
[regressions.botsInSightCone, 1]
],
'currentAction' : [[regressions.currentActionRegression, 1],
[regressions.botsInSightCone, 1]
],
commands.Charge : [[regressions.chargeRegression, 1],
[regressions.botsInSightCone, 1]
],
commands.Move : [[regressions.moveRegression, 1],
[regressions.botsInSightCone, 1],
],
commands.Defend : [[regressions.defendRegression, 1],
[regressions.botsInSightCone, 1]
]
}
return classifier
def get_classifier_from_env(self):
if self.game.team.name == 'Red':
botID = int(os.environ['red_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
elif self.game.team.name == 'Blue':
botID = int(os.environ['blue_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
if classifier != None:
self.botID = botID
return classifier
def get_classifier_from_env(self):
if self.game.team.name == 'Red':
botID = int(os.environ['red_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
elif self.game.team.name == 'Blue':
botID = int(os.environ['blue_team_bot_id'])
classifier = pythonDbHandler.loadClassifier(botID)
if classifier != None:
self.botID = botID
return classifier
def get_offspring(self, parents, dead_bots):
offspring = []
for parent in parents.keys():
classifier = pythonDbHandler.loadClassifier(parent)
offspring.append((parent, copy.deepcopy(classifier)))
#Replace the dead bot's classifiers with the living one at a time.
bot_to_be_overwritten = dead_bots.pop()
offspring.append((bot_to_be_overwritten, copy.deepcopy(classifier)))
return offspring
def get_offspring(self, parents, dead_bots):
offspring = []
for parent in parents.keys():
classifier = pythonDbHandler.loadClassifier(parent)
offspring.append((parent, copy.deepcopy(classifier)))
#Replace the dead bot's classifiers with the living one at a time.
bot_to_be_overwritten = dead_bots.pop()
offspring.append(
(bot_to_be_overwritten, copy.deepcopy(classifier)))
return offspring
def classifierGenerator(self):
if LOAD:
classifier = pythonDbHandler.loadClassifier(22)
print classifier
elif TRAINING:
print "LOADING BOT"
classifier = self.get_classifier_from_env()
else:
print "USING STOCK BOT"
classifier = {commands.Charge: [#[regressions2.max_angles, 0.0],
[regressions2.go_to_camp, 1.0],
[regressions2.go_to_flank_brink, 15.0],
[regressions2.spread_targets2, 1.0],
[regressions2.camp_strategy_go_toward_flag, 2.0],
[regressions2.enemy_distance, 10.0],
[regressions2.friendly_to_enemy_ratio, 5.0],
[regressions2.max_angles, 20.0],
[regressions2.spread_targets2, 1.0]
],
commands.Attack: [#[regressions2.max_angles, 0.0],
[regressions2.go_to_camp, 1.0],
[regressions2.go_to_flank_brink, 15.0],
[regressions2.spread_targets2, 1.0],
[regressions2.camp_strategy_go_toward_flag, 1.0],
[regressions2.enemy_distance, 10.0],
[regressions2.friendly_to_enemy_ratio, -5.0],
[regressions2.max_angles, 20.0],
[regressions2.spread_targets2, 1.0]
],
commands.Move : [],
commands.Defend : [[regressions2.evaluate_camp_command, 1000.0],
[regressions2.lower_redundant_camp_value, 20.0]]
}
return classifier
def classifierGenerator(self):
if LOAD:
classifier = pythonDbHandler.loadClassifier(22)
print classifier
elif TRAINING:
print "LOADING BOT"
classifier = self.get_classifier_from_env()
else:
print "USING STOCK BOT"
classifier = {
commands.Charge: [ #[regressions2.max_angles, 0.0],
[regressions2.go_to_camp, 1.0],
[regressions2.go_to_flank_brink, 15.0],
[regressions2.spread_targets2, 1.0],
[regressions2.camp_strategy_go_toward_flag, 2.0],
[regressions2.enemy_distance, 10.0],
[regressions2.friendly_to_enemy_ratio, 5.0],
[regressions2.max_angles, 20.0],
[regressions2.spread_targets2, 1.0]
],
commands.Attack: [ #[regressions2.max_angles, 0.0],
[regressions2.go_to_camp, 1.0],
[regressions2.go_to_flank_brink, 15.0],
[regressions2.spread_targets2, 1.0],
[regressions2.camp_strategy_go_toward_flag, 1.0],
[regressions2.enemy_distance, 10.0],
[regressions2.friendly_to_enemy_ratio, -5.0],
[regressions2.max_angles, 20.0],
[regressions2.spread_targets2, 1.0]
],
commands.Move: [],
commands.Defend:
[[regressions2.evaluate_camp_command, 1000.0],
[regressions2.lower_redundant_camp_value, 20.0]]
}
return classifier
