Spaces:
Sleeping
Sleeping
| from copy import deepcopy | |
| from easydict import EasyDict | |
| spaceinvaders_ppg_config = dict( | |
| exp_name='spaceinvaders_ppg_seed0', | |
| env=dict( | |
| collector_env_num=16, | |
| evaluator_env_num=8, | |
| n_evaluator_episode=8, | |
| stop_value=10000000000, | |
| env_id='SpaceInvadersNoFrameskip-v4', | |
| #'ALE/SpaceInvaders-v5' is available. But special setting is needed after gym make. | |
| frame_stack=4, | |
| manager=dict(shared_memory=False, ) | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| obs_shape=[4, 84, 84], | |
| action_shape=6, | |
| encoder_hidden_size_list=[32, 64, 64, 128], | |
| actor_head_hidden_size=128, | |
| critic_head_hidden_size=128, | |
| critic_head_layer_num=2, | |
| ), | |
| learn=dict( | |
| update_per_collect=24, | |
| batch_size=128, | |
| # (bool) Whether to normalize advantage. Default to False. | |
| adv_norm=False, | |
| learning_rate=0.0001, | |
| # (float) loss weight of the value network, the weight of policy network is set to 1 | |
| value_weight=0.5, | |
| # (float) loss weight of the entropy regularization, the weight of policy network is set to 1 | |
| entropy_weight=0.03, | |
| clip_ratio=0.1, | |
| epochs_aux=6, | |
| beta_weight=1, | |
| aux_freq=100 | |
| ), | |
| collect=dict( | |
| # (int) collect n_sample data, train model n_iteration times | |
| n_sample=1024, | |
| # (float) the trade-off factor lambda to balance 1step td and mc | |
| gae_lambda=0.95, | |
| discount_factor=0.99, | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=1000, )), | |
| other=dict( | |
| replay_buffer=dict( | |
| multi_buffer=True, | |
| policy=dict( | |
| replay_buffer_size=100000, | |
| max_use=3, | |
| ), | |
| value=dict( | |
| replay_buffer_size=100000, | |
| max_use=10, | |
| ), | |
| ), | |
| ), | |
| ), | |
| ) | |
| spaceinvaders_ppg_config = EasyDict(spaceinvaders_ppg_config) | |
| main_config = spaceinvaders_ppg_config | |
| spaceinvaders_ppg_create_config = dict( | |
| env=dict( | |
| type='atari', | |
| import_names=['dizoo.atari.envs.atari_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='ppg_offpolicy'), | |
| ) | |
| spaceinvaders_ppg_create_config = EasyDict(spaceinvaders_ppg_create_config) | |
| create_config = EasyDict(spaceinvaders_ppg_create_config) | |
| if __name__ == '__main__': | |
| from dizoo.atari.entry.atari_ppg_main import main | |
| # PPG needs to use specific entry, you can run `dizoo/atari/entry/atari_ppg_main.py` | |
| main(main_config) | |