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from easydict import EasyDict |
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qbert_cql_config = dict( |
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exp_name='qbert_cql_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=30000, |
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env_id='QbertNoFrameskip-v4', |
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frame_stack=4 |
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), |
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policy=dict( |
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cuda=True, |
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priority=False, |
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model=dict( |
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obs_shape=[4, 84, 84], |
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action_shape=6, |
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encoder_hidden_size_list=[128, 128, 512], |
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num_quantiles=200, |
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), |
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nstep=1, |
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discount_factor=0.99, |
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learn=dict( |
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update_per_collect=10, |
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train_epoch=30000, |
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batch_size=32, |
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learning_rate=0.0001, |
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target_update_freq=2000, |
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min_q_weight=10.0, |
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), |
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collect=dict( |
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n_sample=100, |
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data_type='naive', |
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data_path='data_path_placeholder', |
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), |
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eval=dict(evaluator=dict(eval_freq=4000, )), |
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other=dict( |
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eps=dict( |
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type='exp', |
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start=1., |
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end=0.05, |
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decay=1000000, |
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), |
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replay_buffer=dict(replay_buffer_size=400000, ), |
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), |
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), |
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) |
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main_config = EasyDict(qbert_cql_config) |
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qbert_cql_create_config = dict( |
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env=dict( |
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type='atari', |
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import_names=['dizoo.atari.envs.atari_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='cql_discrete'), |
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) |
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create_config = EasyDict(qbert_cql_create_config) |
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if __name__ == '__main__': |
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from ding.entry import serial_pipeline_offline |
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serial_pipeline_offline((main_config, create_config), seed=0) |
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