def __init__(self):
QLearningAgent.__init__(self)
self.name = "FunctionAgent"
self.discount = 1.0
self.learn_rate = 0.1
self.epsilon = 0
self.theta_flap = np.zeros(4)
self.theta_noflap = np.zeros(4)
self.Q_table = np.zeros((15,15,15,19,2))
def __init__(self):
state_size = rospy.get_param('/cartpole_v0/state_size')
action_size = rospy.get_param('/cartpole_v0/n_actions')
gamma = rospy.get_param('/cartpole_v0/gamma')
epsilon = rospy.get_param('/cartpole_v0/epsilon')
epsilon_decay = rospy.get_param('/cartpole_v0/epsilon_decay')
epsilon_min = rospy.get_param('/cartpole_v0/epsilon_min')
batch_size = rospy.get_param('/cartpole_v0/batch_size')
QLearningAgent.__init__(self,
state_size=state_size,
action_size=action_size,
gamma=gamma,
epsilon=epsilon,
epsilon_decay=epsilon_decay,
epsilon_min=epsilon_min,
batch_size=batch_size)
def __init__(self, alpha=0.2, discount=0.8, epsilon=0.1):
QLearningAgent.__init__(self, alpha=alpha, discount=discount, epsilon=epsilon)
self.count = 0
def __init__(self):
QLearningAgent.__init__(self, 4, 2)
