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from copy import deepcopy
from easydict import EasyDict
enduro_dqn_config = dict(
exp_name='enduro_dqn_seed0',
env=dict(
collector_env_num=8,
evaluator_env_num=8,
n_evaluator_episode=8,
stop_value=int(1e10),
env_id='EnduroNoFrameskip-v4',
#'ALE/Enduro-v5' is available. But special setting is needed after gym make.
frame_stack=4,
),
policy=dict(
cuda=True,
priority=False,
model=dict(
obs_shape=[4, 84, 84],
action_shape=9,
encoder_hidden_size_list=[128, 128, 512],
),
nstep=3,
discount_factor=0.99,
learn=dict(
update_per_collect=10,
batch_size=32,
learning_rate=0.0001,
target_update_freq=500,
),
collect=dict(n_sample=100, ),
eval=dict(evaluator=dict(eval_freq=4000, )),
other=dict(
eps=dict(
type='exp',
start=0.5,
end=0.05,
decay=1000000,
),
replay_buffer=dict(replay_buffer_size=400000, ),
),
),
)
enduro_dqn_config = EasyDict(enduro_dqn_config)
main_config = enduro_dqn_config
enduro_dqn_create_config = dict(
env=dict(
type='atari',
import_names=['dizoo.atari.envs.atari_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='dqn'),
)
enduro_dqn_create_config = EasyDict(enduro_dqn_create_config)
create_config = enduro_dqn_create_config
if __name__ == '__main__':
# or you can enter ding -m serial -c enduro_dqn_config.py -s 0
from ding.entry import serial_pipeline
serial_pipeline((main_config, create_config), seed=0)
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