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from easydict import EasyDict
cuda = False
multi_gpu = False
main_config = dict(
exp_name='pendulum_ibc_seed0',
env=dict(
evaluator_env_num=5,
act_scale=True,
n_evaluator_episode=5,
stop_value=-250,
),
policy=dict(
cuda=cuda,
model=dict(obs_shape=3, action_shape=1, stochastic_optim=dict(
type='mcmc',
cuda=cuda,
)),
learn=dict(
multi_gpu=multi_gpu,
train_epoch=15,
batch_size=256,
optim=dict(learning_rate=1e-5, ),
learner=dict(hook=dict(log_show_after_iter=1000)),
),
collect=dict(
data_type='hdf5',
data_path='./pendulum_sac_data_generation/expert_demos.hdf5',
collector_logit=False,
),
eval=dict(evaluator=dict(eval_freq=-1, )),
),
)
pendulum_ibc_config = EasyDict(main_config)
main_config = pendulum_ibc_config
pendulum_ibc_create_config = dict(
env=dict(
type='pendulum',
import_names=['dizoo.classic_control.pendulum.envs.pendulum_env'],
),
env_manager=dict(type='base'),
policy=dict(
type='ibc',
import_names=['ding.policy.ibc'],
),
)
pendulum_ibc_create_config = EasyDict(pendulum_ibc_create_config)
create_config = pendulum_ibc_create_config
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