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from easydict import EasyDict | |
import ding.envs.gym_env | |
cfg = dict( | |
exp_name='QbertNoFrameskip-v4-PPOOffPolicy', | |
env=dict( | |
collector_env_num=16, | |
evaluator_env_num=8, | |
n_evaluator_episode=8, | |
stop_value=10000000000, | |
env_id='QbertNoFrameskip-v4', | |
frame_stack=4, | |
env_wrapper='atari_default', | |
), | |
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=18, | |
batch_size=128, | |
learning_rate=0.0001, | |
value_weight=1.0, | |
entropy_weight=0.005, | |
clip_ratio=0.1, | |
adv_norm=False, | |
), | |
collect=dict( | |
n_sample=1024, | |
unroll_len=1, | |
discount_factor=0.99, | |
gae_lambda=0.95, | |
), | |
), | |
wandb_logger=dict( | |
gradient_logger=True, video_logger=True, plot_logger=True, action_logger=True, return_logger=False | |
), | |
) | |
cfg = EasyDict(cfg) | |
env = ding.envs.gym_env.env | |