def main():
con = Controller("sample.cfg", "True")
con.run()
if run_once and p['type'] in ['greedy','greedy_reverse','accgain','accgain_reverse'] and p['name'] in policies_run:
continue
np.random.seed(rint)
platform.reset()
controller = Controller(policy=p,
platform=platform,
num_workers=platform.num_workers,
num_questions=platform.num_questions,
max_rounds=max_rounds_in)
if 'offline' in p:
r = controller.run_offline()
else:
r = controller.run()
policies_run.add(p['name'])
# save platform settings (don't have to do this every run, but we do)
runinfo = {'gt_difficulties': platform.gt_difficulties.tolist(),
'gt_skills': platform.gt_skills.tolist(),
'gt_labels': platform.gt_labels.tolist()}
res.update(history_rows=r,
run_row={'experiment_name': experiment_name_json,
'experiment': experiment_json,
def main():
con = Controller("sample.cfg", "True");
con.run()
import warnings
warnings.simplefilter('ignore')
import strategy
from control import Controller
agent = strategy.EdgeDetectionAgent(10)
# agent = strategy.SiameseNetAgent(10)
controller = Controller(agent, data_dir=None)
controller.run()
