def test_should_find_similar(self):
# given
cfg = Configuration(3, 2, encoder=RealValueEncoder(2))
cl1 = Classifier(
condition=Condition([UBR(0, 0), UBR(0, 3), UBR(0, 3)], cfg=cfg),
action=0,
effect=Effect([UBR(0, 3), UBR(0, 3), UBR(0, 3)], cfg=cfg),
cfg=cfg
)
cl2 = Classifier(
condition=Condition([UBR(0, 0), UBR(0, 3), UBR(0, 3)], cfg=cfg),
action=0,
effect=Effect([UBR(0, 3), UBR(0, 3), UBR(0, 3)], cfg=cfg),
cfg=cfg
)
# then
assert cl1 == cl2
def cfg(self):
return Configuration(classifier_length=2,
number_of_possible_actions=2,
encoder_bits=4)
def cfg(self):
return Configuration(classifier_length=2,
number_of_possible_actions=2,
encoder=RealValueEncoder(4))
return metrics
if __name__ == '__main__':
# Load desired environment
chckb = gym.make('checkerboard-2D-3div-v0')
# Create agent
encoder = RealValueEncoder(resolution_bits=4)
cfg = Configuration(chckb.observation_space.shape[0],
chckb.action_space.n,
encoder=encoder,
user_metrics_collector_fcn=_checkerboard_metrics,
epsilon=0.5,
do_ga=True,
theta_r=0.9,
theta_i=0.2,
theta_ga=100,
chi=0.5,
mu=0.15)
agent = RACS(cfg)
population, metrics = agent.explore_exploit(chckb, 100)
# print reliable classifiers
reliable = [cl for cl in population if cl.is_reliable()]
for cl in reliable:
logging.info(cl)
# print metrics
return metrics
if __name__ == '__main__':
# Load desired environment
rmpx = gym.make('real-multiplexer-3bit-v0')
# Create agent
encoder = RealValueEncoder(resolution_bits=5)
cfg = Configuration(rmpx.observation_space.shape[0],
rmpx.action_space.n,
encoder=encoder,
user_metrics_collector_fcn=_rmpx_metrics,
epsilon=1.0,
do_ga=True,
theta_r=0.9,
theta_i=0.3,
theta_ga=100,
chi=0.5,
mu=0.15)
agent = RACS(cfg)
population, metrics = agent.explore_exploit(rmpx, 100)
logging.info("Done")
# print reliable classifiers
reliable = [cl for cl in population if cl.is_reliable()]
reliable = sorted(reliable, key=lambda cl: -cl.fitness)
for cl in reliable[:10]:
import gym
# noinspection PyUnresolvedReferences
import gym_multiplexer
from lcs.agents.racs import Configuration, RACS
if __name__ == '__main__':
# Load desired environment
rmpx = gym.make('real-multiplexer-6bit-v0')
# Create agent
cfg = Configuration(rmpx.env.observation_space.shape[0],
2,
encoder_bits=3,
epsilon=1.0)
agent = RACS(cfg)
population, _ = agent.explore(rmpx, 10)