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| from easydict import EasyDict | |
| cartpole_bc_config = dict( | |
| exp_name='cartpole_bc_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| n_evaluator_episode=5, | |
| stop_value=195, | |
| ), | |
| policy=dict( | |
| cuda=False, | |
| continuous=False, | |
| model=dict( | |
| obs_shape=4, | |
| action_shape=2, | |
| encoder_hidden_size_list=[64, 64, 128], | |
| ), | |
| learn=dict( | |
| batch_size=64, | |
| learning_rate=0.01, | |
| learner=dict(hook=dict(save_ckpt_after_iter=1000)), | |
| train_epoch=20, | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=40, )) | |
| ), | |
| ) | |
| cartpole_bc_config = EasyDict(cartpole_bc_config) | |
| main_config = cartpole_bc_config | |
| cartpole_bc_create_config = dict( | |
| env=dict( | |
| type='cartpole', | |
| import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'], | |
| ), | |
| env_manager=dict(type='base'), | |
| policy=dict(type='bc'), | |
| ) | |
| cartpole_bc_create_config = EasyDict(cartpole_bc_create_config) | |
| create_config = cartpole_bc_create_config | |
| if __name__ == "__main__": | |
| # Note: Users need to generate expert data, and save the data to ``expert_data_path`` | |
| from ding.entry import serial_pipeline_bc | |
| serial_pipeline_bc([main_config, create_config], seed=0, data_path=expert_data_path) | |