def qlearning_dict(Game, Level, w, N, delta, r_max=0, L0Dist=None):
"""
Creates the specs shell for a game to be solved using Q learning.
:arg Game: An iterated SemiNFG
:type Game: iterSemiNFG
.. seealso::
See the Q Learning documentation (above) for details of the optional arguments
"""
return iterated_input_dict(Game, [('Level', Level), ('delta', delta),('w', w)],
[('L0Dist', L0Dist), ('N', N),
('N', N), ('r_max', r_max)])
def mcrl_dict(Game, Level, J, N, delta, alpha=.5, eps=.2, L0Dist=None,
pureout=False):
"""
Creates the specs shell for a game to be solved using MCRL.
:arg Game: An iterated SemiNFG
:type Game: SemiNFG
.. seealso::
See the EWMA_MCRL documentation (above) for details of the optional arguments
"""
return iterated_input_dict(Game, [('Level', Level)], [('L0Dist', L0Dist), ('J', J),
('N', N), ('delta', delta),
('alpha', alpha), ('eps', eps),
('pureout', pureout)])
def mcrl_dict(Game,
Level,
J,
N,
delta,
alpha=.5,
eps=.2,
L0Dist=None,
pureout=False):
"""
Creates the specs shell for a game to be solved using MCRL.
:arg Game: An iterated SemiNFG
:type Game: SemiNFG
.. seealso::
See the EWMA_MCRL documentation (above) for details of the optional arguments
"""
return iterated_input_dict(Game, [('Level', Level)],
[('L0Dist', L0Dist), ('J', J), ('N', N),
('delta', delta), ('alpha', alpha),
('eps', eps), ('pureout', pureout)])
