Python resetState Exemples

Exemple #1

def resetParameters():
    ne_genetics.resetState((2 * VISION + 1)**2 - 1, OUTPUTS)

Exemple #2

Fichier : ne_mazePlayers.py Projet : atkins/NeuroEvolution-of-Augmenting-Topologies-Maze-Solver

def resetParameters():
    ne_genetics.resetState((2*VISION + 1)**2 - 1, OUTPUTS)

Exemple #3

DEFAULT_POP_SIZE = 30
COMPATABILITY_THRESHOLD = 2.0
COMPATABILITY_THRESHOLD_MODIFIER = 0.4
TARGET_SPECIES = 5

#Mutation parameters
DYNAMIC_MUTATION_RATES = False
MUTATOR_MULTIPLIER = 0.1
MUTATOR_SPREAD = 0.05

#I/O parameters
LOGGING = False
FPS = 3
SAVE_PREFIX = "ne_mazepop"

ne_genetics.resetState((2 * VISION + 1)**2 - 1, OUTPUTS)

rand = random.Random()


class Player:
    def __init__(self, parents=None):
        if (not parents):
            self.net = ne_genetics.Network()
        else:
            self.net = ne_genetics.Network((parents[0].net, parents[1].net))
        self.species = -1
        self.fitness = 0
        self.reset()

    def respond(self, inputs):

Exemple #4

Fichier : ne_mazePlayers.py Projet : atkins/NeuroEvolution-of-Augmenting-Topologies-Maze-Solver

DEFAULT_POP_SIZE = 30
COMPATABILITY_THRESHOLD = 2.0
COMPATABILITY_THRESHOLD_MODIFIER = 0.4
TARGET_SPECIES = 5

#Mutation parameters
DYNAMIC_MUTATION_RATES = False
MUTATOR_MULTIPLIER = 0.1
MUTATOR_SPREAD = 0.05

#I/O parameters
LOGGING = False
FPS = 3
SAVE_PREFIX = "ne_mazepop"

ne_genetics.resetState((2*VISION + 1)**2 - 1, OUTPUTS)

rand = random.Random()

class Player:
    def __init__(self, parents = None):
        if (not parents):
            self.net = ne_genetics.Network()
        else:
            self.net = ne_genetics.Network((parents[0].net, parents[1].net))
        self.species = -1
        self.fitness = 0
        self.reset()

    def respond(self, inputs):
        out = self.net.timestep(inputs)