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from easydict import EasyDict |
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cartpole_mdqn_config = dict( |
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exp_name='cartpole_mdqn_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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n_evaluator_episode=5, |
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stop_value=195, |
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), |
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policy=dict( |
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cuda=False, |
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model=dict( |
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obs_shape=4, |
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action_shape=2, |
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encoder_hidden_size_list=[128, 128, 64], |
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dueling=True, |
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), |
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nstep=1, |
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discount_factor=0.97, |
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entropy_tau=0.03, |
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m_alpha=0.9, |
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learn=dict( |
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update_per_collect=5, |
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batch_size=64, |
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learning_rate=0.001, |
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), |
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collect=dict(n_sample=8), |
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eval=dict(evaluator=dict(eval_freq=40, )), |
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other=dict( |
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eps=dict( |
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type='exp', |
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start=0.95, |
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end=0.1, |
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decay=10000, |
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), |
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replay_buffer=dict(replay_buffer_size=20000, ), |
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), |
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), |
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) |
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cartpole_mdqn_config = EasyDict(cartpole_mdqn_config) |
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main_config = cartpole_mdqn_config |
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cartpole_mdqn_create_config = dict( |
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env=dict( |
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type='cartpole', |
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import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'], |
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), |
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env_manager=dict(type='base'), |
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policy=dict(type='mdqn'), |
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replay_buffer=dict(type='deque', import_names=['ding.data.buffer.deque_buffer_wrapper']), |
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) |
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cartpole_mdqn_create_config = EasyDict(cartpole_mdqn_create_config) |
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create_config = cartpole_mdqn_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, dynamic_seed=False) |
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