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from easydict import EasyDict |
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pendulum_sac_config = dict( |
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exp_name='pendulum_sac_seed0', |
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env=dict( |
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collector_env_num=10, |
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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=-250, |
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), |
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policy=dict( |
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cuda=False, |
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priority=False, |
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random_collect_size=1000, |
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model=dict( |
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obs_shape=3, |
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action_shape=1, |
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twin_critic=True, |
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action_space='reparameterization', |
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actor_head_hidden_size=128, |
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critic_head_hidden_size=128, |
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), |
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learn=dict( |
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update_per_collect=1, |
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batch_size=128, |
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learning_rate_q=0.001, |
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learning_rate_policy=0.001, |
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learning_rate_alpha=0.0003, |
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ignore_done=True, |
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target_theta=0.005, |
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discount_factor=0.99, |
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auto_alpha=True, |
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), |
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collect=dict(n_sample=10, ), |
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eval=dict(evaluator=dict(eval_freq=100, )), |
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other=dict(replay_buffer=dict(replay_buffer_size=100000, ), ), |
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), |
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) |
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pendulum_sac_config = EasyDict(pendulum_sac_config) |
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main_config = pendulum_sac_config |
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pendulum_sac_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='sac'), |
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) |
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pendulum_sac_create_config = EasyDict(pendulum_sac_create_config) |
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create_config = pendulum_sac_create_config |
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if __name__ == "__main__": |
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from ding.entry import serial_pipeline |
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serial_pipeline([main_config, create_config], seed=0) |
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