def _setup(self, conditions):
""" if agent is discrete in states and actions create Q-Table. """
Agent._setup(self, conditions)
if not (self.conditions['discreteStates'] and self.conditions['discreteActions']):
raise AgentException('QAgent expects discrete states and actions. Use adapter or a different environment.')
self.estimator = TableEstimator(self.conditions['stateNum'], self.conditions['actionNum'])
def _setup(self, conditions):
""" if agent is discrete in states and actions create Q-Table. """
Agent._setup(self, conditions)
if not (self.conditions['discreteStates'] == False and self.conditions['discreteActions']):
raise AgentException('FQIAgent expects continuous states and discrete actions. Use adapter or a different environment.')
if self.vectorblock:
self.estimator = VectorBlockEstimator(self.conditions['stateDim'], self.conditions['actionNum'], faClass=self.faClass, ordered=self.ordered)
else:
self.estimator = FAEstimator(self.conditions['stateDim'], self.conditions['actionNum'], faClass=self.faClass, ordered=self.ordered)
def _setup(self, conditions):
""" if agent is discrete in states and actions create Q-Table. """
Agent._setup(self, conditions)
if not (self.conditions['discreteStates'] == False and self.conditions['discreteActions'] == False):
raise AgentException('BASAgent expects continuous states and actions. Use adapter or a different environment.')
self.estimator = FAEstimator(self.conditions['stateDim'] + self.conditions['actionDim'], 2**self.conditions['actionDim'], self.faClass)
# change history to store bas-extended experiences
self.history = History(conditions['stateDim']+self.conditions['actionDim'] , 1)
