|
from easydict import EasyDict |
|
|
|
hopper_onppo_config = dict( |
|
exp_name='hopper_onppo_seed0', |
|
env=dict( |
|
env_id='Hopper-v3', |
|
norm_obs=dict(use_norm=False, ), |
|
norm_reward=dict(use_norm=False, ), |
|
collector_env_num=8, |
|
evaluator_env_num=10, |
|
n_evaluator_episode=10, |
|
stop_value=4000, |
|
), |
|
policy=dict( |
|
cuda=True, |
|
recompute_adv=True, |
|
action_space='continuous', |
|
model=dict( |
|
obs_shape=11, |
|
action_shape=3, |
|
action_space='continuous', |
|
), |
|
learn=dict( |
|
epoch_per_collect=10, |
|
update_per_collect=1, |
|
batch_size=320, |
|
learning_rate=3e-4, |
|
value_weight=0.5, |
|
entropy_weight=0.001, |
|
clip_ratio=0.2, |
|
adv_norm=True, |
|
value_norm=True, |
|
|
|
|
|
|
|
|
|
ignore_done=False, |
|
grad_clip_type='clip_norm', |
|
grad_clip_value=0.5, |
|
), |
|
collect=dict( |
|
n_sample=3200, |
|
unroll_len=1, |
|
discount_factor=0.99, |
|
gae_lambda=0.95, |
|
), |
|
eval=dict(evaluator=dict(eval_freq=500, )), |
|
), |
|
) |
|
hopper_onppo_config = EasyDict(hopper_onppo_config) |
|
main_config = hopper_onppo_config |
|
|
|
hopper_onppo_create_config = dict( |
|
env=dict( |
|
type='mujoco', |
|
import_names=['dizoo.mujoco.envs.mujoco_env'], |
|
), |
|
env_manager=dict(type='subprocess'), |
|
policy=dict(type='ppo', ), |
|
) |
|
hopper_onppo_create_config = EasyDict(hopper_onppo_create_config) |
|
create_config = hopper_onppo_create_config |
|
|
|
if __name__ == "__main__": |
|
|
|
from ding.entry import serial_pipeline_onpolicy |
|
serial_pipeline_onpolicy([main_config, create_config], seed=0) |
|
|