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main.py
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main.py
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import argparse
import functools
from ui import MainWindow, create_app
import time
from gym_utils import make_env, toggle_recording
running = False
def startRl(window):
global running
if running:
return
running = True
parser = argparse.ArgumentParser(description='Reinforcement human learning')
parser.add_argument('--alg', type=str, default="random_alg", help='Name of RL algorithm.')
parser.add_argument('--env', type=str, default="CartPole-v0", help='Name of Gym environment.')
parser.add_argument('--seed', type=int, default=543, help='random seed (default: 543)')
alg, args = window.loadAlg(parser)
env = make_env(args.env, window.viewer, alg_name=args.alg, record=window.recordCheck.isChecked())
window.recordCheck.stateChanged.connect(functools.partial(toggle_recording, env_object=env))
print(args)
env.seed(args.seed)
window.viewer.start_time = time.time()
alg.start(window, args, env)
running = True
def main():
app = create_app()
window = MainWindow()
window.startBut.clicked.connect(functools.partial(startRl, window=window))
window.show()
app.exec_()
if __name__ == "__main__":
main()