wehub-resource-sync
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
from ray.rllib.algorithms.ppo import PPOConfig
|
|
from ray.rllib.connectors.env_to_module import MeanStdFilter
|
|
from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig
|
|
from ray.rllib.examples.envs.classes.stateless_cartpole import StatelessCartPole
|
|
from ray.rllib.examples.utils import (
|
|
add_rllib_example_script_args,
|
|
run_rllib_example_script_experiment,
|
|
)
|
|
|
|
parser = add_rllib_example_script_args(
|
|
default_timesteps=2000000,
|
|
default_reward=350.0,
|
|
)
|
|
parser.set_defaults(
|
|
num_env_runners=3,
|
|
)
|
|
# Use `parser` to add your own custom command line options to this script
|
|
# and (if needed) use their values to set up `config` below.
|
|
args = parser.parse_args()
|
|
|
|
config = (
|
|
PPOConfig()
|
|
.environment(StatelessCartPole)
|
|
.env_runners(
|
|
env_to_module_connector=lambda env, spaces, device: MeanStdFilter(),
|
|
)
|
|
.training(
|
|
lr=0.0003 * ((args.num_learners or 1) ** 0.5),
|
|
num_epochs=6,
|
|
vf_loss_coeff=0.05,
|
|
)
|
|
.rl_module(
|
|
model_config=DefaultModelConfig(
|
|
vf_share_layers=False,
|
|
use_lstm=True,
|
|
max_seq_len=20,
|
|
),
|
|
)
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
run_rllib_example_script_experiment(config, args)
|