def observationFunction(self, state):
if not self.lastState is None:
reward = 0.0
# reward -= 1.
self.observeTransition(self.lastState, self.lastAction, state,
reward)
return CaptureAgent.observationFunction(self, state)
def observationFunction(self, state):
"""
This is where we ended up after our last action.
The simulation should somehow ensure this is called
"""
CaptureAgent.observationFunction(self, state)
if not self.lastState is None:
# get the socre change by the new move, compared to the last move
reward = state.getScore() - self.lastState.getScore()
#print("reward is", reward)
if reward != 0:
print(reward)
print("____the weights value are ", self.weights)
# pass the reward added to the observeTransition function
self.observeTransition(self.lastState, self.lastAction, state,
reward)
return state
def observationFunction(self, currentGameState):
if self.lastState:
# find the score change between each step
rewardChange = (currentGameState.getScore() -
self.lastState.getScore())
# rewardChange = 1
# update 1-step Q values
self.observeTransition(self.lastState, self.lastAction,
currentGameState, rewardChange)
return CaptureAgent.observationFunction(self, currentGameState)
def observationFunction(self, state):
"""
This is where we ended up after our last action.
The simulation should somehow ensure this is called
"""
if not self.lastState is None:
reward = (state.getScore() - self.lastState.getScore())
self.observeTransition(self.lastState, self.lastAction, state, reward)
return CaptureAgent.observationFunction(self, state)
def observationFunction(self, state):
"""
This is where we ended up after our last action.
The simulation should somehow ensure this is called
"""
if not self.lastState is None:
reward = (state.getScore() - self.lastState.getScore())
self.observeTransition(self.lastState, self.lastAction, state, reward)
return CaptureAgent.observationFunction(self, state)
def observationFunction(self, state):
if not self.has_no_observation and \
self.getPreviousObservation() is not None and \
self.isInTraining():
self.makeUpdate()
return CaptureAgent.observationFunction(self, state)
def observationFunction(self, state):
if not self.lastState is None:
reward = (state.getScore() - self.lastState.getScore())
self.observeTransition(self.lastState, self.lastAction, state,
reward)
return CaptureAgent.observationFunction(self, state)
