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from easydict import EasyDict | |
pong_ppg_config = dict( | |
exp_name='pong_ppg_seed0', | |
env=dict( | |
collector_env_num=8, | |
evaluator_env_num=8, | |
n_evaluator_episode=8, | |
stop_value=20, | |
env_id='PongNoFrameskip-v4', | |
#'ALE/Pong-v5' is available. But special setting is needed after gym make. | |
frame_stack=4, | |
), | |
policy=dict( | |
cuda=True, | |
model=dict( | |
obs_shape=[4, 84, 84], | |
action_shape=6, | |
encoder_hidden_size_list=[64, 64, 128], | |
critic_head_hidden_size=128, | |
actor_head_hidden_size=128, | |
), | |
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=5, | |
), | |
), | |
), | |
), | |
) | |
main_config = EasyDict(pong_ppg_config) | |
pong_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'), | |
) | |
create_config = EasyDict(pong_ppg_create_config) | |
if __name__ == "__main__": | |
import os | |
import warnings | |
from dizoo.atari.entry.atari_ppg_main import main | |
from dizoo.atari.entry.atari_ppg_main import __file__ as _origin_py_file | |
origin_py_file_rel = os.path.relpath(_origin_py_file, os.path.abspath(os.path.curdir)) | |
warnings.warn(UserWarning(f"This config file can be executed by {repr(origin_py_file_rel)}")) | |
main(main_config) | |