|
from easydict import EasyDict |
|
|
|
pendulum_ppo_config = dict( |
|
exp_name='pendulum_ppo_seed0', |
|
env=dict( |
|
collector_env_num=10, |
|
evaluator_env_num=5, |
|
act_scale=True, |
|
n_evaluator_episode=5, |
|
stop_value=-250, |
|
), |
|
policy=dict( |
|
cuda=False, |
|
action_space='continuous', |
|
recompute_adv=True, |
|
model=dict( |
|
obs_shape=3, |
|
action_shape=1, |
|
encoder_hidden_size_list=[64, 64], |
|
action_space='continuous', |
|
actor_head_layer_num=0, |
|
critic_head_layer_num=0, |
|
sigma_type='conditioned', |
|
bound_type='tanh', |
|
), |
|
learn=dict( |
|
epoch_per_collect=10, |
|
batch_size=32, |
|
learning_rate=3e-5, |
|
value_weight=0.5, |
|
entropy_weight=0.0, |
|
clip_ratio=0.2, |
|
adv_norm=False, |
|
value_norm=True, |
|
ignore_done=True, |
|
), |
|
collect=dict( |
|
n_sample=200, |
|
unroll_len=1, |
|
discount_factor=0.9, |
|
gae_lambda=1., |
|
), |
|
eval=dict(evaluator=dict(eval_freq=200, )) |
|
), |
|
) |
|
pendulum_ppo_config = EasyDict(pendulum_ppo_config) |
|
main_config = pendulum_ppo_config |
|
pendulum_ppo_create_config = dict( |
|
env=dict( |
|
type='pendulum', |
|
import_names=['dizoo.classic_control.pendulum.envs.pendulum_env'], |
|
), |
|
env_manager=dict(type='base'), |
|
policy=dict(type='ppo'), |
|
) |
|
pendulum_ppo_create_config = EasyDict(pendulum_ppo_create_config) |
|
create_config = pendulum_ppo_create_config |
|
|
|
if __name__ == "__main__": |
|
|
|
from ding.entry import serial_pipeline_onpolicy |
|
serial_pipeline_onpolicy([main_config, create_config], seed=0) |
|
|
