wehub-resource-sync
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from ray.rllib.algorithms.ppo import PPOConfig
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from ray.rllib.connectors.env_to_module import FlattenObservations
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from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig
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from ray.rllib.examples.envs.classes.cartpole_with_large_observation_space import (
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CartPoleWithLargeObservationSpace,
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)
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from ray.rllib.examples.utils import (
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add_rllib_example_script_args,
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run_rllib_example_script_experiment,
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)
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parser = add_rllib_example_script_args(default_reward=450.0, default_timesteps=300000)
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# Use `parser` to add your own custom command line options to this script
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# and (if needed) use their values to set up `config` below.
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args = parser.parse_args()
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config = (
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PPOConfig()
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.environment(CartPoleWithLargeObservationSpace)
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.env_runners(
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env_to_module_connector=lambda env, spaces, device: FlattenObservations(),
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episodes_to_numpy=False,
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)
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.training(
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lr=0.0003,
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num_epochs=6,
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vf_loss_coeff=0.01,
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)
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.rl_module(
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model_config=DefaultModelConfig(
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use_lstm=True,
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lstm_cell_size=1024,
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),
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)
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)
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if __name__ == "__main__":
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run_rllib_example_script_experiment(config, args)
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