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from easydict import EasyDict
import ding.envs.gym_env
cfg = dict(
exp_name='QbertNoFrameskip-v4-DQN',
seed=0,
env=dict(
env_id='QbertNoFrameskip-v4',
collector_env_num=8,
evaluator_env_num=8,
n_evaluator_episode=8,
fram_stack=4,
stop_value=30000,
env_wrapper='atari_default',
),
policy=dict(
cuda=True,
priority=False,
discount_factor=0.99,
nstep=3,
learn=dict(
update_per_collect=10,
batch_size=32,
learning_rate=0.0001,
# Frequency of target network update.
target_update_freq=500,
),
model=dict(
obs_shape=[4, 84, 84],
action_shape=6,
encoder_hidden_size_list=[128, 128, 512],
),
collect=dict(n_sample=100, ),
other=dict(
eps=dict(
type='exp',
start=1.,
end=0.05,
decay=1000000,
), replay_buffer=dict(replay_buffer_size=400000, )
),
),
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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