|
from easydict import EasyDict |
|
import ding.envs.gym_env |
|
|
|
cfg = dict( |
|
exp_name='LunarLander-v2-DQN', |
|
seed=0, |
|
env=dict( |
|
env_id='LunarLander-v2', |
|
collector_env_num=8, |
|
evaluator_env_num=8, |
|
n_evaluator_episode=8, |
|
stop_value=260, |
|
), |
|
policy=dict( |
|
cuda=True, |
|
random_collect_size=25000, |
|
discount_factor=0.99, |
|
nstep=3, |
|
learn=dict( |
|
update_per_collect=10, |
|
batch_size=64, |
|
learning_rate=0.001, |
|
|
|
target_update_freq=100, |
|
), |
|
model=dict( |
|
obs_shape=8, |
|
action_shape=4, |
|
encoder_hidden_size_list=[512, 64], |
|
|
|
dueling=True, |
|
), |
|
collect=dict( |
|
n_sample=64, |
|
unroll_len=1, |
|
), |
|
other=dict( |
|
eps=dict( |
|
type='exp', |
|
start=0.95, |
|
end=0.1, |
|
decay=50000, |
|
), 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 = ding.envs.gym_env.env |
|
|
