def test_against_MUX(self):
scenario = MUXProblem(training_cycles=10000, address_size=3)
algorithm = xcs.XCSAlgorithm()
algorithm.exploration_probability = .1
algorithm.discount_factor = 0
algorithm.do_ga_subsumption = True
algorithm.do_action_set_subsumption = True
best = None
expected = .6
for _ in range(2):
logging.disable(logging.CRITICAL)
try:
scenario.reset()
steps, total_reward, time_passed, population = xcs.test(
algorithm, scenario)
finally:
logging.disable(logging.NOTSET)
average_reward = total_reward / steps
self.assertGreater(average_reward, .49)
self.assertLess(time_passed, 40)
if average_reward >= expected:
break
elif best is None or best < average_reward:
best = average_reward
else:
self.fail("Failed to achieve expected average reward level. "
"(Missed by %f.)" % (expected - best))
def setUp(self):
self.scenario = MUXProblem(10)
