wehub-resource-sync
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from ray.rllib.algorithms.ppo import PPOConfig
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from ray.rllib.connectors.env_to_module import MeanStdFilter
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from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig
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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_timesteps=400000, default_reward=-300)
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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("Pendulum-v1")
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.env_runners(
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num_env_runners=2,
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num_envs_per_env_runner=20,
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env_to_module_connector=lambda env, spaces, device: MeanStdFilter(),
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)
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.training(
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train_batch_size_per_learner=1024,
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minibatch_size=128,
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lr=0.0002 * (args.num_learners or 1) ** 0.5,
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gamma=0.95,
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lambda_=0.5,
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# num_epochs=8,
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)
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.rl_module(
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model_config=DefaultModelConfig(fcnet_activation="relu"),
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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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