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| from easydict import EasyDict | |
| rocket_ppo_config = dict( | |
| exp_name='rocket_landing_onppo_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| n_evaluator_episode=5, | |
| stop_value=2200, | |
| task='landing', | |
| max_steps=800, | |
| replay_path='rocket_landing_onppo_seed0/video', | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| action_space='discrete', | |
| model=dict( | |
| obs_shape=8, | |
| action_shape=9, | |
| action_space='discrete', | |
| encoder_hidden_size_list=[64, 64, 128], | |
| critic_head_hidden_size=128, | |
| actor_head_hidden_size=128, | |
| ), | |
| learn=dict( | |
| epoch_per_collect=10, | |
| batch_size=64, | |
| learning_rate=3e-4, | |
| value_weight=0.5, | |
| entropy_weight=0.01, | |
| clip_ratio=0.2, | |
| adv_norm=True, | |
| value_norm=True, | |
| learner=dict(hook=dict(save_ckpt_after_iter=100)), | |
| ), | |
| collect=dict( | |
| n_sample=2048, | |
| unroll_len=1, | |
| discount_factor=0.99, | |
| gae_lambda=0.95, | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=1000, ), ), | |
| ), | |
| ) | |
| rocket_ppo_config = EasyDict(rocket_ppo_config) | |
| main_config = rocket_ppo_config | |
| rocket_ppo_create_config = dict( | |
| env=dict( | |
| type='rocket', | |
| import_names=['dizoo.rocket.envs.rocket_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='ppo'), | |
| ) | |
| rocket_ppo_create_config = EasyDict(rocket_ppo_create_config) | |
| create_config = rocket_ppo_create_config | |
| if __name__ == "__main__": | |
| # or you can enter `ding -m serial_onpolicy -c rocket_landing_ppo_config.py -s 0` | |
| from ding.entry import serial_pipeline_onpolicy | |
| serial_pipeline_onpolicy((main_config, create_config), seed=0) | |