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from easydict import EasyDict |
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cliffwalking_dqn_config = dict( |
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exp_name='cliffwalking_dqn_seed0', |
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env=dict( |
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collector_env_num=8, |
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evaluator_env_num=8, |
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n_evaluator_episode=8, |
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stop_value=-13, |
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max_episode_steps=300, |
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), |
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policy=dict( |
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cuda=True, |
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load_path="./cliffwalking_dqn_seed0/ckpt/ckpt_best.pth.tar", |
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model=dict( |
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obs_shape=48, |
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action_shape=4, |
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encoder_hidden_size_list=[512, 64], |
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), |
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discount_factor=0.99, |
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nstep=1, |
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learn=dict( |
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update_per_collect=10, |
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batch_size=128, |
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learning_rate=0.001, |
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target_update_freq=100, |
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), |
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collect=dict( |
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n_sample=64, |
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unroll_len=1, |
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), |
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other=dict( |
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eps=dict( |
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type='linear', |
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start=0.95, |
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end=0.25, |
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decay=50000, |
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), |
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replay_buffer=dict(replay_buffer_size=100000, ) |
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), |
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), |
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) |
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cliffwalking_dqn_config = EasyDict(cliffwalking_dqn_config) |
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main_config = cliffwalking_dqn_config |
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cliffwalking_dqn_create_config = dict( |
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env=dict( |
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type='cliffwalking', |
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import_names=['dizoo.cliffwalking.envs.cliffwalking_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='dqn'), |
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) |
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cliffwalking_dqn_create_config = EasyDict(cliffwalking_dqn_create_config) |
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create_config = cliffwalking_dqn_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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