wehub-resource-sync
49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
from ray.rllib.algorithms.appo import APPOConfig
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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(
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default_reward=-300.0,
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default_timesteps=100000000,
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)
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parser.set_defaults(
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num_env_runners=4,
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)
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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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APPOConfig()
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.environment("Pendulum-v1")
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.env_runners(
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num_envs_per_env_runner=20,
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)
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.learners(num_learners=1)
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.training(
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train_batch_size_per_learner=500,
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circular_buffer_num_batches=16,
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circular_buffer_iterations_per_batch=10,
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target_network_update_freq=2,
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clip_param=0.4,
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lr=0.0003,
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gamma=0.95,
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lambda_=0.5,
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entropy_coeff=0.0,
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use_kl_loss=True,
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kl_coeff=1.0,
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kl_target=0.04,
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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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