Spaces:
Sleeping
Sleeping
from easydict import EasyDict | |
cartpole_sac_config = dict( | |
exp_name='cartpole_sac_seed0', | |
env=dict( | |
collector_env_num=8, | |
evaluator_env_num=5, | |
n_evaluator_episode=5, | |
stop_value=195, | |
), | |
policy=dict( | |
cuda=False, | |
random_collect_size=0, | |
multi_agent=False, | |
model=dict( | |
obs_shape=4, | |
action_shape=2, | |
twin_critic=True, | |
actor_head_hidden_size=64, | |
critic_head_hidden_size=64, | |
), | |
learn=dict( | |
update_per_collect=2, | |
batch_size=64, | |
learning_rate_q=5e-3, | |
learning_rate_policy=5e-3, | |
learning_rate_alpha=3e-4, | |
ignore_done=False, | |
target_theta=0.01, | |
discount_factor=0.99, | |
alpha=0.2, | |
auto_alpha=False, | |
), | |
collect=dict( | |
env_num=8, | |
n_sample=256, | |
unroll_len=1, | |
), | |
command=dict(), | |
eval=dict( | |
evaluator=dict(eval_freq=50, ), | |
env_num=5, | |
), | |
other=dict( | |
eps=dict( | |
type='exp', | |
start=0.95, | |
end=0.1, | |
decay=50000, | |
), replay_buffer=dict(replay_buffer_size=100000, ) | |
), | |
), | |
) | |
cartpole_sac_config = EasyDict(cartpole_sac_config) | |
main_config = cartpole_sac_config | |
cartpole_sac_create_config = dict( | |
env=dict( | |
type='cartpole', | |
import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'], | |
), | |
env_manager=dict(type='base'), | |
policy=dict(type='discrete_sac'), | |
) | |
cartpole_sac_create_config = EasyDict(cartpole_sac_create_config) | |
create_config = cartpole_sac_create_config | |
if __name__ == "__main__": | |
# or you can enter `ding -m serial -c cartpole_sac_config.py -s 0` | |
from ding.entry import serial_pipeline | |
serial_pipeline((main_config, create_config), seed=0) | |