|
from easydict import EasyDict |
|
import os |
|
|
|
dmc2gym_sac_config = dict( |
|
exp_name='dmc2gym_sac_pixel_seed0', |
|
env=dict( |
|
env_id='dmc2gym-v0', |
|
domain_name="cartpole", |
|
task_name="swingup", |
|
frame_skip=4, |
|
warp_frame=True, |
|
scale=True, |
|
clip_rewards=False, |
|
frame_stack=3, |
|
from_pixels=True, |
|
channels_first=False, |
|
collector_env_num=8, |
|
evaluator_env_num=8, |
|
n_evaluator_episode=8, |
|
stop_value=1e6, |
|
manager=dict(shared_memory=False, ), |
|
), |
|
policy=dict( |
|
model_type='pixel', |
|
cuda=True, |
|
random_collect_size=10000, |
|
model=dict( |
|
obs_shape=(3, 84, 84), |
|
action_shape=1, |
|
twin_critic=True, |
|
encoder_hidden_size_list=[32, 32, 32], |
|
actor_head_hidden_size=1024, |
|
critic_head_hidden_size=1024, |
|
share_encoder=True, |
|
), |
|
learn=dict( |
|
ignore_done=True, |
|
update_per_collect=1, |
|
batch_size=128, |
|
learning_rate_q=1e-3, |
|
learning_rate_policy=1e-3, |
|
learning_rate_alpha=3e-4, |
|
target_theta=0.005, |
|
discount_factor=0.99, |
|
alpha=0.2, |
|
reparameterization=True, |
|
auto_alpha=True, |
|
), |
|
collect=dict( |
|
n_sample=1, |
|
unroll_len=1, |
|
), |
|
eval=dict(), |
|
other=dict(replay_buffer=dict(replay_buffer_size=100000, ), ), |
|
), |
|
) |
|
|
|
dmc2gym_sac_config = EasyDict(dmc2gym_sac_config) |
|
main_config = dmc2gym_sac_config |
|
|
|
dmc2gym_sac_create_config = dict( |
|
env=dict( |
|
type='dmc2gym', |
|
import_names=['dizoo.dmc2gym.envs.dmc2gym_env'], |
|
), |
|
env_manager=dict(type='subprocess'), |
|
policy=dict( |
|
type='sac', |
|
import_names=['ding.policy.sac'], |
|
), |
|
replay_buffer=dict(type='naive', ), |
|
) |
|
dmc2gym_sac_create_config = EasyDict(dmc2gym_sac_create_config) |
|
create_config = dmc2gym_sac_create_config |
|
|
|
if __name__ == "__main__": |
|
|
|
from ding.entry import serial_pipeline |
|
serial_pipeline((main_config, create_config), seed=0) |