self.exploringFrozen = False
return "message understood, exploring frozen"
# Message Description
# save_policy FILENAME
# Action: Save current value function in binary format to
# file called FILENAME
#
if mssg.startswith("save_policy"):
split_string = mssg.split(" ")
self.save_value_function(split_string[1])
print "Saved."
return "message understood, saving policy"
# Message Description
# load_policy FILENAME
# Action: Load value function in binary format from
# file called FILENAME
#
if mssg.startswith("load_policy"):
split_string = mssg.split(" ")
self.load_value_function(split_string[1])
print "Loaded."
return "message understood, loading policy"
return "SampleSarsaAgent(Python) does not understand your message."
if __name__ == "__main__":
agent_loader.load_agent(SarsaAgent())
last_observation = copy.deepcopy(observation)
return return_action
def step(self, reward, observation):
# Generate random action, 0 or 1
int_action = self.rand_generator.randint(0, 1)
return_action = Action()
return_action.intArray = [int_action]
last_action = copy.deepcopy(return_action)
last_observation = copy.deepcopy(observation)
return return_action
def end(self, reward):
pass
def cleanup(self):
pass
def message(self, msg):
if msg == "what is your name?":
return "my name is SkeletonAgent, Python edition!"
else:
return "I don't know how to respond to your message"
if __name__ == "__main__":
agent_loader.load_agent(SkeletonAgent())
