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from easydict import EasyDict
maze_dqn_config = dict(
env=dict(
collector_env_num=4,
env_id='maze',
evaluator_env_num=4,
n_evaluator_episode=4,
stop_value=10,
),
policy=dict(
cuda=False,
model=dict(
obs_shape=[3, 64, 64],
action_shape=15,
encoder_hidden_size_list=[128, 128, 512],
dueling=False,
),
discount_factor=0.99,
learn=dict(
update_per_collect=20,
batch_size=32,
learning_rate=0.0005,
target_update_freq=500,
discount_factor=0.99,
),
collect=dict(n_sample=100, ),
eval=dict(evaluator=dict(eval_freq=5000, )),
other=dict(
eps=dict(
type='exp',
start=1.,
end=0.05,
decay=250000,
),
replay_buffer=dict(replay_buffer_size=100000, ),
),
),
)
maze_dqn_config = EasyDict(maze_dqn_config)
main_config = maze_dqn_config
maze_dqn_create_config = dict(
env=dict(
type='procgen',
import_names=['dizoo.procgen.envs.procgen_env'],
),
env_manager=dict(type='subprocess', ),
policy=dict(type='dqn'),
)
maze_dqn_create_config = EasyDict(maze_dqn_create_config)
create_config = maze_dqn_create_config
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