|
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, |
|
|
|
|
|
|
|
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, |
|
), |
|
|
|
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__": |
|
|
|
from ding.entry import serial_pipeline_onpolicy |
|
serial_pipeline_onpolicy([main_config, create_config], seed=0) |
|
|