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from easydict import EasyDict
main_config = dict(
exp_name="halfcheetah_medium_expert_bcq_seed0",
env=dict(
env_id='halfcheetah-medium-expert-v2',
collector_env_num=1,
evaluator_env_num=8,
use_act_scale=True,
n_evaluator_episode=8,
stop_value=12000,
),
policy=dict(
cuda=True,
model=dict(
obs_shape=17,
action_shape=6,
actor_head_hidden_size=[400, 300],
critic_head_hidden_size=[400, 300],
phi=0.05,
),
learn=dict(
data_path=None,
train_epoch=30000,
batch_size=100,
learning_rate_q=3e-3,
learning_rate_policy=3e-3,
learning_rate_alpha=3e-3,
lmbda=0.75,
learner=dict(hook=dict(save_ckpt_after_iter=1000000000, )),
),
collect=dict(data_type='d4rl', ),
eval=dict(evaluator=dict(eval_freq=500, )),
other=dict(replay_buffer=dict(replay_buffer_size=2000000, ), ),
),
seed=123,
)
main_config = EasyDict(main_config)
main_config = main_config
create_config = dict(
env=dict(
type='d4rl',
import_names=['dizoo.d4rl.envs.d4rl_env'],
),
env_manager=dict(type='base'),
policy=dict(
type='bcq',
import_names=['ding.policy.bcq'],
),
replay_buffer=dict(type='naive', ),
)
create_config = EasyDict(create_config)
create_config = create_config
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