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from easydict import EasyDict
collector_env_num = 8
evaluator_env_num = 5
minigrid_ppo_stdim_config = dict(
exp_name="minigrid_empty8_onppo_stdim_seed0",
env=dict(
collector_env_num=collector_env_num,
evaluator_env_num=evaluator_env_num,
n_evaluator_episode=evaluator_env_num,
# typical MiniGrid env id:
# {'MiniGrid-Empty-8x8-v0', 'MiniGrid-FourRooms-v0', 'MiniGrid-DoorKey-8x8-v0','MiniGrid-DoorKey-16x16-v0'},
# please refer to https://github.com/Farama-Foundation/MiniGrid for details.
env_id='MiniGrid-Empty-8x8-v0',
max_step=300,
stop_value=0.96,
),
policy=dict(
cuda=True,
recompute_adv=True,
action_space='discrete',
model=dict(
obs_shape=2835,
action_shape=7,
action_space='discrete',
encoder_hidden_size_list=[256, 128, 64, 64],
),
aux_model=dict(
encode_shape=64,
heads=[1, 1],
loss_type='infonce',
temperature=1.0,
),
# the weight of the auxiliary loss to the TD loss
aux_loss_weight=0.003,
learn=dict(
epoch_per_collect=10,
update_per_collect=1,
batch_size=320,
learning_rate=3e-4,
value_weight=0.5,
entropy_weight=0.001,
clip_ratio=0.2,
adv_norm=True,
value_norm=True,
),
collect=dict(
collector_env_num=collector_env_num,
n_sample=int(3200),
unroll_len=1,
discount_factor=0.99,
gae_lambda=0.95,
),
),
)
minigrid_ppo_stdim_config = EasyDict(minigrid_ppo_stdim_config)
main_config = minigrid_ppo_stdim_config
minigrid_ppo_stdim_create_config = dict(
env=dict(
type='minigrid',
import_names=['dizoo.minigrid.envs.minigrid_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='ppo_stdim'),
)
minigrid_ppo_stdim_create_config = EasyDict(minigrid_ppo_stdim_create_config)
create_config = minigrid_ppo_stdim_create_config
if __name__ == "__main__":
# or you can enter `ding -m serial -c minigrid_onppo_stdim_config.py -s 0`
from ding.entry import serial_pipeline_onpolicy
serial_pipeline_onpolicy([main_config, create_config], seed=0)
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