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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,
# Frequency of target network update.
target_update_freq=100,
),
model=dict(
obs_shape=8,
action_shape=4,
encoder_hidden_size_list=[512, 64],
# Whether to use dueling head.
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
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