class PlayYourCardsRight(Feature):
def __init__(self, text_to_speech, speech_to_text):
Feature.__init__(self)
# setup AV Table
self.av_table = GameTable(13, 2)
if(self.av_table.loadParameters() == False):
self.av_table.initialize(0.)
# setup a Q-Learning agent
learner = Q(0.5, 0.0)
learner._setExplorer(EpsilonGreedyExplorer(0.0))
self.agent = LearningAgent(self.av_table, learner)
# setup game interaction
self.game_interaction = GameInteraction(text_to_speech, speech_to_text)
# setup environment
environment = GameEnvironment(self.game_interaction)
# setup task
task = GameTask(environment, self.game_interaction)
# setup experiment
self.experiment = Experiment(task, self.agent)
@property
def is_speaking(self):
return self.game_interaction.is_speaking
def _thread(self, args):
# let's play our cards right!
while not self.is_stop:
self.experiment.doInteractions(1)
self.agent.learn()
self.av_table.saveParameters()
class PlayYourCardsRight(Feature):
def __init__(self, text_to_speech, speech_to_text):
Feature.__init__(self)
# setup AV Table
self.av_table = GameTable(13, 2)
if (self.av_table.loadParameters() == False):
self.av_table.initialize(0.)
# setup a Q-Learning agent
learner = Q(0.5, 0.0)
learner._setExplorer(EpsilonGreedyExplorer(0.0))
self.agent = LearningAgent(self.av_table, learner)
# setup game interaction
self.game_interaction = GameInteraction(text_to_speech, speech_to_text)
# setup environment
environment = GameEnvironment(self.game_interaction)
# setup task
task = GameTask(environment, self.game_interaction)
# setup experiment
self.experiment = Experiment(task, self.agent)
@property
def is_speaking(self):
return self.game_interaction.is_speaking
def _thread(self, args):
# let's play our cards right!
while not self.is_stop:
self.experiment.doInteractions(1)
self.agent.learn()
self.av_table.saveParameters()
