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()
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()
"""