def cli():
parser = argparse.ArgumentParser(
description="Train or evaluate an RLlib Trainer.",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog=EXAMPLE_USAGE)
subcommand_group = parser.add_subparsers(
help="Commands to train or evaluate an RLlib agent.", dest="command")
# see _SubParsersAction.add_parser in
# https://github.com/python/cpython/blob/master/Lib/argparse.py
train_parser = train.create_parser(
lambda **kwargs: subcommand_group.add_parser("train", **kwargs))
evaluate_parser = evaluate.create_parser(
lambda **kwargs: subcommand_group.add_parser("evaluate", **kwargs))
rollout_parser = evaluate.create_parser(
lambda **kwargs: subcommand_group.add_parser("rollout", **kwargs))
options = parser.parse_args()
if options.command == "train":
train.run(options, train_parser)
elif options.command == "evaluate":
evaluate.run(options, evaluate_parser)
elif options.command == "rollout":
deprecation_warning(old="rllib rollout",
new="rllib evaluate",
error=False)
evaluate.run(options, rollout_parser)
else:
parser.print_help()
def run(args, parser):
config = args.config
if 'callbacks' not in config:
config['callbacks'] = {}
if 'on_train_result' not in config['callbacks']:
config['callbacks']['on_train_result'] = on_train_result
else:
print('on_train_result defined. Overriding default')
train.run(args, parser)
def cli():
parser = argparse.ArgumentParser(
description="Train or Run an RLlib Agent.",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog=EXAMPLE_USAGE)
subcommand_group = parser.add_subparsers(
help="Commands to train or run an RLlib agent.", dest="command")
# see _SubParsersAction.add_parser in
# https://github.com/python/cpython/blob/master/Lib/argparse.py
train_parser = train.create_parser(
lambda **kwargs: subcommand_group.add_parser("train", **kwargs))
rollout_parser = rollout.create_parser(
lambda **kwargs: subcommand_group.add_parser("rollout", **kwargs))
options = parser.parse_args()
if options.command == "train":
train.run(options, train_parser)
elif options.command == "rollout":
rollout.run(options, rollout_parser)
else:
parser.print_help()
activation_fn=None,
weights_initializer=weights_initializer)
return net_out, net
def create_pacman_environment(layout_name='originalClassic',
stick_actions=False):
"""
"""
layout = pacman_env.layout.getLayout(layout_name)
if layout is None:
raise ValueError('No suck layout as %s' % layout_name)
ghosts = []
for i in range(2):
ghosts.append(pacman_env.ghostAgents.RandomGhost(i + 1))
#display = VizGraphics(includeInfoPane=False, zoom=0.4)
display = pacman_env.matrixDisplay.PacmanGraphics(layout)
#teacherAgents = [LeftTurnAgent(), GreedyAgent()]
env = pacman_env.PacmanEnv(layout, ghosts,
display) #, teacherAgents=teacherAgents)
return env
if __name__ == '__main__':
ModelCatalog.register_custom_model("PacmanModel", PacmanModel)
register_env("pacman", lambda _: create_pacman_environment())
parser = create_parser()
args = parser.parse_args()
run(args, parser)
def main():
parser = create_parser()
args = parser.parse_args()
run(args, parser)
def main():
raylab.register_all_agents()
raylab.register_all_environments()
parser = create_parser()
args = parser.parse_args()
run(args, parser)
