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from easydict import EasyDict
cliffwalking_dqn_config = dict(
exp_name='cliffwalking_dqn_seed0',
env=dict(
collector_env_num=8,
evaluator_env_num=8,
n_evaluator_episode=8,
stop_value=-13, # the optimal value of cliffwalking env
max_episode_steps=300,
),
policy=dict(
cuda=True,
load_path="./cliffwalking_dqn_seed0/ckpt/ckpt_best.pth.tar",
model=dict(
obs_shape=48,
action_shape=4,
encoder_hidden_size_list=[512, 64],
),
discount_factor=0.99,
nstep=1,
learn=dict(
update_per_collect=10,
batch_size=128,
learning_rate=0.001,
target_update_freq=100,
),
collect=dict(
n_sample=64,
unroll_len=1,
),
other=dict(
eps=dict(
type='linear',
start=0.95,
end=0.25,
decay=50000,
),
replay_buffer=dict(replay_buffer_size=100000, )
),
),
)
cliffwalking_dqn_config = EasyDict(cliffwalking_dqn_config)
main_config = cliffwalking_dqn_config
cliffwalking_dqn_create_config = dict(
env=dict(
type='cliffwalking',
import_names=['dizoo.cliffwalking.envs.cliffwalking_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='dqn'),
)
cliffwalking_dqn_create_config = EasyDict(cliffwalking_dqn_create_config)
create_config = cliffwalking_dqn_create_config
if __name__ == "__main__":
# or you can enter `ding -m serial -c cliffwalking_dqn_config.py -s 0`
from ding.entry import serial_pipeline
serial_pipeline([main_config, create_config], seed=0)
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