cartpole_learn.py File Reference

Namespaces
	kusanagi.examples.cartpole.cartpole_learn

Functions
def	kusanagi.examples.cartpole.cartpole_learn.signal_handler

Variables
float	kusanagi.examples.cartpole.cartpole_learn.dt = 0.1
dictionary	kusanagi.examples.cartpole.cartpole_learn.model_parameters = {}
list	kusanagi.examples.cartpole.cartpole_learn.x0 = [0,0,0,0]
tuple	kusanagi.examples.cartpole.cartpole_learn.S0 = np.eye(4)
list	kusanagi.examples.cartpole.cartpole_learn.maxU = [10]
tuple	kusanagi.examples.cartpole.cartpole_learn.measurement_noise = np.diag(np.ones(len(x0))*0.01**2)
tuple	kusanagi.examples.cartpole.cartpole_learn.plant = Cartpole(model_parameters,x0,S0,dt,measurement_noise)
tuple	kusanagi.examples.cartpole.cartpole_learn.draw_cp = CartpoleDraw(plant,0.033)
list	kusanagi.examples.cartpole.cartpole_learn.angle_dims = [3]
tuple	kusanagi.examples.cartpole.cartpole_learn.policy = RBFPolicy(x0,S0,maxU,10, angle_dims)
dictionary	kusanagi.examples.cartpole.cartpole_learn.cost_parameters = {}
tuple	kusanagi.examples.cartpole.cartpole_learn.cost = partial(cartpole_loss, params=cost_parameters)
float	kusanagi.examples.cartpole.cartpole_learn.T = 4.0
int	kusanagi.examples.cartpole.cartpole_learn.J = 2
int	kusanagi.examples.cartpole.cartpole_learn.N = 100
tuple	kusanagi.examples.cartpole.cartpole_learn.learner = PILCO(plant, policy, cost, angle_dims, async_plant=False)