def __init__(self, topology, epochs, memory_length, batch_size, learning_rate, gamma, epsilon, epsilon_min,
epsilon_decay):
Memory.__init__(self, memory_length)
self.memory_length = memory_length
self.batch_size = batch_size
self.topology = topology
self.learning_rate = learning_rate
self.epochs = epochs
self.gamma = gamma
self.epsilon = epsilon
self.epsilon_min = epsilon_min
self.epsilon_decay = epsilon_decay
self.q_network = self._build_model()
self.q_network_target = self._build_model()
def __init__(self):
# Enteras temporales
int = 20000
int_limit = 21999
# Flotantes globales
float = 22000
float_limit = 23999
# Temporales booleanas
bool = 24000
bool_limit = 25999
Memory.__init__(self, int, int_limit, float, float_limit, bool, bool_limit)
def __init__(self):
# Constantes enteras
int= 26000
int_limit = 27999
# Constantes flotantes
float= 28000
float_limit = 29999
# Constantes booleanas
bool= 30000
bool_limit = 30001
Memory.__init__(self, int, int_limit, float, float_limit, bool, bool_limit)
def __init__(self):
## Enteras locales
int = 12000
int_limit = 13999
# Flotantes locales
float = 14000
float_limit = 15999
# Booleanas locales
bool = 16000
bool_limit = 17999
self.draw = 18000
self.draw_next = 18000
self.draw_limit = 19999
Memory.__init__(self, int, int_limit, float, float_limit, bool, bool_limit)
def __init__(self):
# Enteras globales
int = 4000
int_limit = 5999
# Flotantes globales
float = 6000
float_limit = 7999
# Booleanas globales
bool = 8000
bool_limit = 9999
self.draw = 10000
self.draw_next = 10000
self.draw_limit = 11999
Memory.__init__(self, int, int_limit, float, float_limit, bool, bool_limit)
