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from easydict import EasyDict
qbert_fqf_config = dict(
exp_name='qbert_fqf_seed0',
env=dict(
collector_env_num=8,
evaluator_env_num=8,
n_evaluator_episode=8,
stop_value=10000000000,
env_id='QbertNoFrameskip-v4',
#'ALE/Qbert-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=6,
encoder_hidden_size_list=[128, 128, 512],
num_quantiles=32,
quantile_embedding_size=64,
),
nstep=1,
discount_factor=0.99,
learn=dict(
update_per_collect=10,
batch_size=32,
learning_rate_fraction=2.5e-9,
learning_rate_quantile=0.00005,
target_update_freq=500,
ent_coef=0,
),
collect=dict(n_sample=100, ),
eval=dict(evaluator=dict(eval_freq=4000, )),
other=dict(
eps=dict(
type='exp',
start=1.,
end=0.01,
decay=1000000,
),
replay_buffer=dict(replay_buffer_size=1000000, ),
),
),
)
qbert_fqf_config = EasyDict(qbert_fqf_config)
main_config = qbert_fqf_config
qbert_fqf_create_config = dict(
env=dict(
type='atari',
import_names=['dizoo.atari.envs.atari_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='fqf'),
)
qbert_fqf_create_config = EasyDict(qbert_fqf_create_config)
create_config = qbert_fqf_create_config
if __name__ == '__main__':
# or you can enter `ding -m serial -c qbert_fqf_config.py -s 0`
from ding.entry import serial_pipeline
serial_pipeline((main_config, create_config), seed=0) |