def __init__(self, centerBinEdges, simscript='./mock_rlRunExperiment.pl',
resetscript='./mock_rlResetExperiment.pl'):
Environment.__init__(self)
self.centerBinEdges = centerBinEdges
self.data = []
self.actions = []
self.numErrors = 0
self.simscript = simscript
self.resetscript = resetscript
self.discreteStates = True
self.discreteActions = True
self.numActions = 2
self.numSensors = len(sensorValues)
if self.centerBinEdges is None:
self.numSensorBins = 1
else:
self.numSensorBins = len(self.centerBinEdges[0]) + 1
def __init__(self,
centerBinEdges,
simscript='./mock_rlRunExperiment.pl',
resetscript='./mock_rlResetExperiment.pl'):
Environment.__init__(self)
self.centerBinEdges = centerBinEdges
self.data = []
self.actions = []
self.numErrors = 0
self.simscript = simscript
self.resetscript = resetscript
self.discreteStates = True
self.discreteActions = True
self.numActions = 2
self.numSensors = len(sensorValues)
if self.centerBinEdges is None:
self.numSensorBins = 1
else:
self.numSensorBins = len(self.centerBinEdges[0]) + 1
def __init__(self, gymRawEnv):
Environment.__init__(self)
observationSpace = gymRawEnv.observation_space
if type(observationSpace) == Discrete:
self.outdim = 1
self.discreteStates = True
self.numStates = observationSpace.n
actionSpace = gymRawEnv.action_space
if type(actionSpace) == Discrete:
self.indim = 1
self.discreteActions = True
self.numActions = actionSpace.n
self.env = gymRawEnv
self.observation = None
self.reward = 0
self.cumReward = 0
self.done = True
self.info = None
self.transform = None
self.doCumulative = False
self.doRender = False
def __init__(self):
Environment.__init__(self)
self.reset()
self.actions = [0.0, 0.0]
self._save_wheel_contact_trajectories = False
def __init__(self):
Environment.__init__(self)
self.reset()
self.actions = [0.0, 0.0]
self._save_wheel_contact_trajectories = False
