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| from easydict import EasyDict | |
| lunarlander_qrdqn_config = dict( | |
| exp_name='lunarlander_qrdqn_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=8, | |
| env_id='LunarLander-v2', | |
| n_evaluator_episode=8, | |
| stop_value=200, | |
| ), | |
| policy=dict( | |
| cuda=False, | |
| model=dict( | |
| obs_shape=8, | |
| action_shape=4, | |
| ), | |
| nstep=1, | |
| discount_factor=0.97, | |
| learn=dict( | |
| batch_size=64, | |
| learning_rate=0.001, | |
| ), | |
| collect=dict(n_sample=128, ), | |
| eval=dict(evaluator=dict(eval_freq=50, )), | |
| other=dict( | |
| eps=dict( | |
| type='exp', | |
| start=0.95, | |
| end=0.1, | |
| decay=10000, | |
| ), | |
| replay_buffer=dict(replay_buffer_size=20000, ), | |
| ), | |
| ), | |
| ) | |
| lunarlander_qrdqn_config = EasyDict(lunarlander_qrdqn_config) | |
| main_config = lunarlander_qrdqn_config | |
| lunarlander_qrdqn_create_config = dict( | |
| env=dict( | |
| type='lunarlander', | |
| import_names=['dizoo.box2d.lunarlander.envs.lunarlander_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='qrdqn'), | |
| ) | |
| lunarlander_qrdqn_create_config = EasyDict(lunarlander_qrdqn_create_config) | |
| create_config = lunarlander_qrdqn_create_config | |
| if __name__ == '__main__': | |
| # or you can enter `ding -m serial -c lunarlander_qrdqn_config.py -s 0` | |
| from ding.entry import serial_pipeline | |
| serial_pipeline([main_config, create_config], seed=0) | |