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| from easydict import EasyDict | |
| update_per_collect = 8 | |
| cartpole_sqn_config = dict( | |
| exp_name='cartpole_sqn_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| n_evaluator_episode=5, | |
| stop_value=195, | |
| ), | |
| policy=dict( | |
| cuda=False, | |
| model=dict( | |
| obs_shape=4, | |
| action_shape=2, | |
| encoder_hidden_size_list=[64, 64], | |
| # Whether to use dueling head. | |
| dueling=True, | |
| ), | |
| learn=dict( | |
| multi_gpu=False, | |
| update_per_collect=update_per_collect, | |
| batch_size=64, | |
| learning_rate_q=0.001, | |
| learning_rate_alpha=0.001, | |
| alpha=0.2, | |
| target_entropy=0.2, | |
| ), | |
| collect=dict( | |
| n_sample=update_per_collect * 2, | |
| nstep=1, | |
| ), | |
| other=dict( | |
| eps=dict( | |
| type='exp', | |
| start=1., | |
| end=0.8, | |
| decay=2000, | |
| ), replay_buffer=dict(replay_buffer_size=10000, ) | |
| ), | |
| ) | |
| ) | |
| cartpole_sqn_config = EasyDict(cartpole_sqn_config) | |
| main_config = cartpole_sqn_config | |
| cartpole_sqn_create_config = dict( | |
| env=dict( | |
| type='cartpole', | |
| import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'], | |
| ), | |
| env_manager=dict(type='base'), | |
| policy=dict(type='sqn'), | |
| ) | |
| cartpole_sqn_create_config = EasyDict(cartpole_sqn_create_config) | |
| create_config = cartpole_sqn_create_config | |
| if __name__ == "__main__": | |
| # or you can enter `ding -m serial -c cartpole_sqn_config.py -s 0` | |
| from ding.entry import serial_pipeline | |
| serial_pipeline((main_config, create_config), seed=0) | |