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from easydict import EasyDict
lunarlander_td3_config = dict(
exp_name='lunarlander_cont_td3_seed0',
env=dict(
env_id='LunarLanderContinuous-v2',
collector_env_num=4,
evaluator_env_num=8,
# (bool) Scale output action into legal range.
act_scale=True,
n_evaluator_episode=8,
stop_value=200,
),
policy=dict(
cuda=False,
random_collect_size=10000,
model=dict(
obs_shape=8,
action_shape=2,
twin_critic=True,
action_space='regression',
),
learn=dict(
update_per_collect=256,
batch_size=128,
learning_rate_actor=3e-4,
learning_rate_critic=1e-3,
actor_update_freq=2,
noise=True,
noise_sigma=0.1,
noise_range=dict(
min=-0.5,
max=0.5,
),
),
collect=dict(
n_sample=256,
noise_sigma=0.1,
),
eval=dict(evaluator=dict(eval_freq=1000, ), ),
other=dict(replay_buffer=dict(replay_buffer_size=int(1e5), ), ),
),
)
lunarlander_td3_config = EasyDict(lunarlander_td3_config)
main_config = lunarlander_td3_config
lunarlander_td3_create_config = dict(
env=dict(
type='lunarlander',
import_names=['dizoo.box2d.lunarlander.envs.lunarlander_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='td3'),
)
lunarlander_td3_create_config = EasyDict(lunarlander_td3_create_config)
create_config = lunarlander_td3_create_config
if __name__ == '__main__':
# or you can enter `ding -m serial -c lunarlander_cont_td3_config.py -s 0`
from ding.entry import serial_pipeline
serial_pipeline([main_config, create_config], seed=0)
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