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from easydict import EasyDict |
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pendulum_pg_config = dict( |
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exp_name='pendulum_pg_seed0', |
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env=dict( |
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collector_env_num=8, |
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evaluator_env_num=5, |
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act_scale=True, |
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n_evaluator_episode=5, |
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stop_value=-200, |
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), |
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policy=dict( |
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cuda=False, |
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action_space='continuous', |
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model=dict( |
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action_space='continuous', |
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obs_shape=3, |
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action_shape=1, |
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), |
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learn=dict( |
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batch_size=400, |
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learning_rate=0.001, |
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entropy_weight=0.001, |
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), |
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collect=dict( |
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n_episode=2, |
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unroll_len=1, |
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discount_factor=0.99, |
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), |
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eval=dict(evaluator=dict(eval_freq=200, )) |
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), |
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) |
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pendulum_pg_config = EasyDict(pendulum_pg_config) |
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main_config = pendulum_pg_config |
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pendulum_pg_create_config = dict( |
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env=dict( |
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type='pendulum', |
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import_names=['dizoo.classic_control.pendulum.envs.pendulum_env'], |
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), |
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env_manager=dict(type='base'), |
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policy=dict(type='pg'), |
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collector=dict(type='episode'), |
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) |
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pendulum_pg_create_config = EasyDict(pendulum_pg_create_config) |
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create_config = pendulum_pg_create_config |
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if __name__ == "__main__": |
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from ding.entry import serial_pipeline_onpolicy |
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serial_pipeline_onpolicy([main_config, create_config], seed=0) |
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