Not working when initial_value is numpy.

[Al17OTON]

In ValueIteration, Numpy and Integer can't be compared when initial_value is given as numpy.

vi = mdptoolbox.mdp.ValueIteration(P,R,discount, initial_value=initial_values)

If initial_values is integer and greater than zero. len(integer) won't work.
Or initial_values is Numpy and it's Lengths are exactly same as S (states). initial_value == 0 won't work.
and will make Error.
"""
import mdptoolbox.example
import mdptoolbox.mdp
import numpy as np

P,R = mdptoolbox.example.forest()

initial_values = np.array([ # Forest have three state.
0,0,0
])

discount = 0.96

vi = mdptoolbox.mdp.ValueIteration(P,R,discount, initial_value=initial_values)

vi.run()

print(vi.V)

#expected : (5.93215488, 9.38815488, 13.38815488)

#result : ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
"""