def __init__(self, solver):
Policy.__init__(self, solver)
self._name = 'FinishTimeFairness_Perf'
self._isolated_policy = IsolatedPolicy()
self._cumulative_isolated_time = {}
self._isolated_throughputs_prev_iteration = {}
self._num_steps_remaining_prev_iteration = {}
def __init__(self, *args, **kwargs):
# where the last action is recorded according
# to its respective constants
self.TURN = 2
self.FORWARD = 1
self.STOP = 0
Policy.__init__(self, *args, **kwargs)
def __init__(self, action_space, *args, **kwargs):
self.time_steps = 0
self.num_time_steps = 100
kwargs['action_space'] = action_space
Policy.__init__(self, *args, **kwargs)
self.LEFT = 0
self.RIGHT = 1
def __init__(self, action_space, *args, **kwargs):
# The last action is recorded according to its respective constants
# these indices should be in order of action space
self.FORWARD = 0
self.TURN_RIGHT = 2
self.TURN_LEFT = 1
kwargs['action_space'] = action_space
Policy.__init__(self, *args, **kwargs)
def __init__(self, interface, prog_args):
Policy.__init__(self, interface)
global policy
assert policy is None
policy = self
import mainwindow
self.window = mainwindow.MainWindow(prog_args)
self.window.browser.set_root(policy.get_interface(policy.root))
def __init__(self, epsilon, action_space, value_function, feature_indices,
*args, **kwargs):
self.epsilon = epsilon
self.value = value_function
kwargs['action_space'] = action_space
kwargs['value_function'] = value_function
kwargs['feature_indices'] = feature_indices
Policy.__init__(self, *args, **kwargs)
def __init__(self, det_policy_data: dict):
""" Initialization : just inherits from Policy class.
@param det_policy_data dict Classic Policy data input.
"""
Policy.__init__(self,
{s: {
a: 1.0
}
for s, a in det_policy_data.items()})
def __init__(self, time_scale, action_space, value_function,
feature_indices, *args, **kwargs):
self.TURN = 1
self.FORWARD = 0
self.time_scale = time_scale
kwargs['action_space'] = action_space
kwargs['value_function'] = value_function
kwargs['feature_indices'] = feature_indices
Policy.__init__(self, *args, **kwargs)
def __init__(self, turn_repeat_percentage, *args, **kwargs):
# self.forward_percentage = forward_percentage
self.turn_repeat_percentage = turn_repeat_percentage
# where the last action is recorded according
# to its respective constants
self.TURN = 2
self.FORWARD = 1
self.STOP = 0
Policy.__init__(self, *args, **kwargs)
def __init__(self, solver):
Policy.__init__(self, solver)
self._name = 'MaxMinFairness_Perf'
self._proportional_policy = ProportionalPolicy()
def __init__(self, solver):
Policy.__init__(self, solver)
self._name = 'ThroughputNormalizedByCostSum_PackingSLOs'
def __init__(self, action_space, fwd_action_index, *args, **kwargs):
kwargs['action_space'] = action_space
Policy.__init__(self, *args, **kwargs)
self.pi *= 0.0
self.pi[fwd_action_index] += 1.0
def __init__(self, priority_reweighting_policies=None):
WaterFillingAlgorithm.__init__(self, priority_reweighting_policies)
Policy.__init__(self, solver=None)
self._name = 'MaxMinFairnessWaterFilling_Perf'
self._proportional_policy = ProportionalPolicy()
