backup_x=backup_x,
temperature=args.temperature,
delta_t=args.temperature / args.iterations)
ideal_temp = []
experienced_temp = []
start = time()
def after():
e = agent.explore / agent.steps
ideal_temp.append(agent.temperature)
experienced_temp.append(e)
print(round(agent.temperature, 3), round(e, 3), agent.steps,
len(agent.food_eaten), agent.poison_eaten)
agent.train(after)
finish = time()
print("Time: {}s".format(finish - start))
if args.plot:
from plot import plot_temperatures
plot_temperatures(ideal_temp, experienced_temp)
agent.temperature = -1
FlatlandGUI(agent)
start = time()
def after():
e = agent.explore / agent.steps
ideal_temp.append(agent.temperature)
experienced_temp.append(e)
print(
round(agent.temperature, 3),
round(e, 3),
agent.steps,
len(agent.food_eaten),
agent.poison_eaten
)
agent.train(after)
finish = time()
print("Time: {}s".format(finish - start))
if args.plot:
from plot import plot_temperatures
plot_temperatures(ideal_temp, experienced_temp)
agent.temperature = -1
FlatlandGUI(agent)
