def __init__(self, model):
Solver.__init__(self, model)
self.tree = None
self.simulation_time = None # in seconds
self.max_particles = None # maximum number of particles can be supplied by hand for a belief node
self.reinvigorated_particles_ratio = None # ratio of max_particles to mutate
self.utility_fn = None
def __init__(self, model):
Solver.__init__(self, model)
self.tree = None
self.gamma = None # discount
self.cur_state = None # current state for which action is produced
self.horizon = None
self.width = None
self.max_reward = None # upperbound on possible reward for a state
self.max_diff = None # max expected difference between optimal and computed
self.utility_fn = None
def __init__(self, matches = 10):
Solver.__init__(self, matches)
self.base = [ x for x in range(matches) ]
self.generator = itertools.permutations(self.base)
print('Tryhard solver initialized!')
def __init__(self, model):
Solver.__init__(self, model)
self.belief_points = None
self.alpha_vecs = None
self.solved = False
def __init__(self, matches=10):
Solver.__init__(self, matches)
self.matches = matches
self.reset()
print('Bumblesort solver initialized!')
def __init__(self, matches=10):
Solver.__init__(self, matches)
self.matches = matches
self.base = [x for x in range(self.matches)]
print('Random solver initialized!')
