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from easydict import EasyDict
from functools import partial
import ding.envs.gym_env
cfg = dict(
exp_name='LunarLanderContinuous-V2-TD3',
seed=0,
env=dict(
env_id='LunarLanderContinuous-v2',
collector_env_num=4,
evaluator_env_num=8,
n_evaluator_episode=8,
stop_value=240,
act_scale=True,
),
policy=dict(
cuda=True,
random_collect_size=10000,
model=dict(
obs_shape=8,
action_shape=2,
action_space='regression',
),
learn=dict(
update_per_collect=256,
batch_size=256,
learning_rate_actor=3e-4,
learning_rate_critic=1e-3,
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=100000, ), ),
),
wandb_logger=dict(
gradient_logger=True, video_logger=True, plot_logger=True, action_logger=True, return_logger=False
),
)
cfg = EasyDict(cfg)
env = partial(ding.envs.gym_env.env, continuous=True)
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