parser = argparse.ArgumentParser()
parser.add_argument("-s", "--steps", type=int)
parser.add_argument("-f", "--filename", type=str)
parser.add_argument("-e", "--evaluate", type=bool)
parser.add_argument("--seed", type=int)
args = parser.parse_args()
args.steps = 1000
args.seed = 100
args.filename = 'network_config_agent_0_layers_11_6_1.txt'
print(args.steps, args.seed, args.filename, args.evaluate)
steps = args.steps
seed = args.seed if args.seed else 23
np.random.seed(seed)
random.seed(seed)
m = generate_map(8, 5, 3, 3)
if args.filename:
agent = SimpleCarAgent.from_file(args.filename)
w = SimpleCarWorld(5, m, SimplePhysics, SimpleCarAgent, timedelta=0.2)
if args.evaluate:
print(w.evaluate_agent(agent, steps))
else:
w.set_agents([agent])
w.run(steps)
else:
SimpleCarWorld(5, m, SimplePhysics, SimpleCarAgent,
timedelta=0.2).run(steps)
import numpy as np
import random
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-s", "--steps", type=int)
parser.add_argument("-f", "--filename", type=str)
parser.add_argument("-e", "--evaluate", type=bool)
parser.add_argument("--seed", type=int)
args = parser.parse_args()
print(args.steps, args.seed, args.filename, args.evaluate)
steps = args.steps
seed = args.seed if args.seed else 23
np.random.seed(seed)
random.seed(seed)
m = generate_map(8, 5, 3, 3)
if args.filename:
agent = SimpleCarAgent.from_file(args.filename)
w = SimpleCarWorld(1, m, SimplePhysics, SimpleCarAgent, timedelta=0.2)
if args.evaluate:
print(w.evaluate_agent(agent, steps))
else:
w.set_agents([agent])
w.run(steps)
else:
SimpleCarWorld(1, m, SimplePhysics, SimpleCarAgent, timedelta=0.2).run(steps)
w = SimpleCarWorld(1,
m,
SimplePhysics,
SimpleCarAgent,
ls,
t,
ep,
e,
timedelta=0.2)
if args.filename:
agent = SimpleCarAgent.from_file(args.filename, ls)
w.set_agents([agent])
steps = iterations * t
fname = w.run(steps, visual=False)
new_agent = SimpleCarAgent.from_file(fname, ls)
# вычислить ошибку
# for ts in test_seeds:
# np.random.seed(ts)
# random.seed(ts)
# m = generate_map(8,5,3,3)
# w = SimpleCarWorld(1, m, SimplePhysics, SimpleCarAgent, ls, t, ep, e, timedelta=0.2)
# print(w.evaluate_agent(new_agent, steps, visual=False))
# количество кругов
for ts in test_seeds:
np.random.seed(ts)
random.seed(ts)
m = generate_map(8, 5, 3, 3)
w = SimpleCarWorld(1,
parser = argparse.ArgumentParser()
parser.add_argument("-s", "--steps", type=int)
parser.add_argument("-f", "--filename", type=str)
parser.add_argument("-e", "--evaluate", type=bool)
parser.add_argument("--seed", type=int)
args = parser.parse_args()
print(args.steps, args.seed, args.filename, args.evaluate)
steps = args.steps
seed = args.seed if args.seed else 23
np.random.seed(seed)
random.seed(seed)
m = generate_map(20, 2, 1, 1)
radii = np.random.normal(loc=2.5, scale=0.2, size=8)
angles = get_partition(8, -np.pi, np.pi)
o = generate_obstacles(8, radii, angles, 0)
if args.filename:
agent = SimpleCarAgent.from_file(args.filename)
w = SimpleCarWorld(1, m, o, radii, angles, SimplePhysics, SimpleCarAgent, timedelta=0.2)
if args.evaluate:
with open('results.txt', 'a') as inf:
circles, collisions = w.evaluate_agent(agent, SimplePhysics, steps, timedelta=0.2)
inf.write('seed: {} circles: {} collisions: {} \n'.format(seed, circles, collisions))
else:
w.set_agents([agent])
w.run(SimplePhysics, steps, timedelta=0.2)
else:
SimpleCarWorld(1, m, o, radii, angles, SimplePhysics, SimpleCarAgent, timedelta=0.2).run(SimplePhysics, steps, timedelta=0.2)
import random
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-s", "--steps", type=int)
parser.add_argument("-f", "--filename", type=str)
parser.add_argument("-e", "--evaluate", type=bool)
parser.add_argument("--seed", type=int)
args = parser.parse_args()
print(args.steps, args.seed, args.filename, args.evaluate)
steps = args.steps
seed = args.seed if args.seed else 23
np.random.seed(seed)
random.seed(seed)
m = generate_map(8, 5, 3, 3)
if args.filename:
agent = SimpleCarAgent.from_file(args.filename)
w = SimpleCarWorld(1, m, SimplePhysics, SimpleCarAgent, timedelta=0.2)
if args.evaluate:
print(w.evaluate_agent(agent, steps))
else:
w.set_agents([agent])
w.run(steps, None)
else:
SimpleCarWorld(1, m, SimplePhysics, SimpleCarAgent,
timedelta=0.2).run(steps)