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2026-07-13 13:17:40 +08:00

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Python

from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig
from ray.rllib.examples.utils import (
add_rllib_example_script_args,
run_rllib_example_script_experiment,
)
parser = add_rllib_example_script_args(default_reward=450.0, default_timesteps=300000)
# 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("CartPole-v1")
.training(
lr=0.0003,
num_epochs=6,
vf_loss_coeff=0.01,
)
.rl_module(
model_config=DefaultModelConfig(
fcnet_hiddens=[32],
fcnet_activation="linear",
vf_share_layers=True,
),
)
)
if __name__ == "__main__":
run_rllib_example_script_experiment(config, args)