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from easydict import EasyDict
agent_num = 4
obs_dim = 34
collector_env_num = 8
evaluator_env_num = 32
gfootball_keeper_masac_default_config = dict(
exp_name='gfootball_counter_masac_seed0',
env=dict(
env_name='academy_counterattack_hard',
agent_num=agent_num,
obs_dim=obs_dim,
n_evaluator_episode=32,
stop_value=1,
collector_env_num=collector_env_num,
evaluator_env_num=evaluator_env_num,
manager=dict(
shared_memory=False,
reset_timeout=6000,
),
),
policy=dict(
cuda=True,
# share_weight=True,
random_collect_size=int(1e4),
model=dict(
agent_num=agent_num,
agent_obs_shape=34,
global_obs_shape=68,
action_shape=19,
twin_critic=True,
actor_head_hidden_size=256,
critic_head_hidden_size=256,
),
learn=dict(
update_per_collect=50,
batch_size=320,
learning_rate_q=5e-4,
learning_rate_policy=5e-4,
learning_rate_alpha=5e-5,
ignore_done=False,
target_theta=0.005,
discount_factor=0.99,
alpha=0.2,
auto_alpha=True,
log_space=True,
),
collect=dict(
env_num=collector_env_num,
n_sample=1600,
unroll_len=1,
),
eval=dict(
evaluator=dict(eval_freq=50, ),
env_num=evaluator_env_num,
),
other=dict(
eps=dict(
type='linear',
start=1,
end=0.05,
decay=int(5e4),
),
replay_buffer=dict(replay_buffer_size=int(1e6), ),
),
),
)
gfootball_keeper_masac_default_config = EasyDict(gfootball_keeper_masac_default_config)
main_config = gfootball_keeper_masac_default_config
gfootball_keeper_masac_default_create_config = dict(
env=dict(
type='gfootball-academy',
import_names=['dizoo.gfootball.envs.gfootball_academy_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='sac_discrete', ),
)
gfootball_keeper_masac_default_create_config = EasyDict(gfootball_keeper_masac_default_create_config)
create_config = gfootball_keeper_masac_default_create_config
if __name__ == "__main__":
# or you can enter `ding -m serial -c gfootball_counter_masac_config.py -s 0`
from ding.entry import serial_pipeline
serial_pipeline([main_config, create_config], seed=0)
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