def run_loaded_agent(self):
input_width = 3
input_height = 4
n_actions = 2
max_iter = 100
discount = 0.9
learn_rate = .005
batch_size = 4
rng = np.random
filename = "agent_max_iter-{}-width-{}-height-{}-discount-{}-lr-{}-batch-{}.npz".format(max_iter,
input_width,
input_height,
discount,
learn_rate,
batch_size)
agent_obj = DeepQLearner(input_width, input_height, n_actions, discount, learn_rate, batch_size, rng)
try:
agent_obj.load(filename)
except:
print "Failed to Load file. Aborting."
return
self.test_agent(agent_obj, input_height, input_width)
