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from easydict import EasyDict
cartpole_bc_config = dict(
exp_name='cartpole_bc_seed0',
env=dict(
collector_env_num=8,
evaluator_env_num=5,
n_evaluator_episode=5,
stop_value=195,
),
policy=dict(
cuda=False,
continuous=False,
model=dict(
obs_shape=4,
action_shape=2,
encoder_hidden_size_list=[64, 64, 128],
),
learn=dict(
batch_size=64,
learning_rate=0.01,
learner=dict(hook=dict(save_ckpt_after_iter=1000)),
train_epoch=20,
),
eval=dict(evaluator=dict(eval_freq=40, ))
),
)
cartpole_bc_config = EasyDict(cartpole_bc_config)
main_config = cartpole_bc_config
cartpole_bc_create_config = dict(
env=dict(
type='cartpole',
import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'],
),
env_manager=dict(type='base'),
policy=dict(type='bc'),
)
cartpole_bc_create_config = EasyDict(cartpole_bc_create_config)
create_config = cartpole_bc_create_config
if __name__ == "__main__":
# Note: Users need to generate expert data, and save the data to ``expert_data_path``
from ding.entry import serial_pipeline_bc
serial_pipeline_bc([main_config, create_config], seed=0, data_path=expert_data_path)