if False:
# simple function optimization
thetask = SphereFunction(3)
thenet = ParameterContainer(3)
elif True:
# simple pole-balancing task
thetask = CartPoleTask(1, markov = True)
thenet = buildNetwork(thetask.outdim, thetask.indim, bias = False)
elif False:
# hard pole-balancing task
thetask = CartPoleTask(2, markov = False)
thenet = buildNetwork(thetask.outdim, 3, thetask.indim)
thenet.addRecurrentConnection(FullConnection(thenet['hidden0'], thenet['hidden0']))
thenet.sortModules()
elif False:
# maze-navigation
# TODO: noisy task, calls should be averaged!
thetask = CheeseMaze(maxSteps = 50)
thenet = buildNetwork(thetask.outdim, 1, thetask.indim)
print 'Subsequently, we attempt to solve the following task:'
print thetask
if isinstance(thenet, Network):
print '\nby finding good weights for this (simple) network:'
print thenet
print '\nwhich has', thenet.paramdim, 'trainable parameters. (the dimensions of its layers are:',
