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from easydict import EasyDict
pendulum_ddpg_config = dict(
exp_name='pendulum_ddpg_seed0',
env=dict(
collector_env_num=8,
evaluator_env_num=5,
# (bool) Scale output action into legal range.
act_scale=True,
n_evaluator_episode=5,
stop_value=-250,
),
policy=dict(
cuda=False,
priority=False,
random_collect_size=800,
model=dict(
obs_shape=3,
action_shape=1,
twin_critic=False,
action_space='regression',
),
learn=dict(
update_per_collect=2,
batch_size=128,
learning_rate_actor=0.001,
learning_rate_critic=0.001,
ignore_done=True,
actor_update_freq=1,
noise=False,
),
collect=dict(
n_sample=48,
noise_sigma=0.1,
collector=dict(collect_print_freq=1000, ),
),
eval=dict(evaluator=dict(eval_freq=100, )),
other=dict(replay_buffer=dict(
replay_buffer_size=20000,
max_use=16,
), ),
),
)
pendulum_ddpg_config = EasyDict(pendulum_ddpg_config)
main_config = pendulum_ddpg_config
pendulum_ddpg_create_config = dict(
env=dict(
type='pendulum',
import_names=['dizoo.classic_control.pendulum.envs.pendulum_env'],
),
env_manager=dict(type='base'),
policy=dict(type='ddpg'),
)
pendulum_ddpg_create_config = EasyDict(pendulum_ddpg_create_config)
create_config = pendulum_ddpg_create_config
if __name__ == "__main__":
# or you can enter `ding -m serial -c pendulum_ddpg_config.py -s 0`
from ding.entry import serial_pipeline
serial_pipeline([main_config, create_config], seed=0)
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