cartpole_learn_serial.py File Reference

Namespaces
	kusanagi.examples.cartpole.cartpole_learn_serial

Functions
def	kusanagi.examples.cartpole.cartpole_learn_serial.signal_handler

Variables
float	kusanagi.examples.cartpole.cartpole_learn_serial.dt = 0.1
dictionary	kusanagi.examples.cartpole.cartpole_learn_serial.model_parameters = {}
list	kusanagi.examples.cartpole.cartpole_learn_serial.x0 = [0,0,0,0]
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.S0 = np.eye(4)
list	kusanagi.examples.cartpole.cartpole_learn_serial.maxU = [10]
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.measurement_noise = np.diag(np.ones(len(x0))*0.01**2)
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.plant = SerialPlant(model_parameters,x0,S0,dt,measurement_noise,state_indices=[0,2,3,1],maxU=maxU,baud_rate=4000000,port='/dev/ttyACM0')
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.draw_cp = CartpoleDraw(plant,0.033)
list	kusanagi.examples.cartpole.cartpole_learn_serial.angle_dims = [3]
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.policy = RBFPolicy(x0,S0,maxU,10, angle_dims)
dictionary	kusanagi.examples.cartpole.cartpole_learn_serial.cost_parameters = {}
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.cost = partial(cartpole_loss, params=cost_parameters)
float	kusanagi.examples.cartpole.cartpole_learn_serial.T = 4.0
int	kusanagi.examples.cartpole.cartpole_learn_serial.J = 3
int	kusanagi.examples.cartpole.cartpole_learn_serial.N = 100
tuple	kusanagi.examples.cartpole.cartpole_learn_serial.learner = PILCO(plant, policy, cost, angle_dims, async_plant=False)