File size: 2,076 Bytes
079c32c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import gym
from ditk import logging
from ding.model import VAC
from ding.policy import IMPALAPolicy
from ding.envs import SubprocessEnvManagerV2
from ding.data import DequeBuffer
from ding.config import compile_config
from ding.framework import task, ding_init
from ding.framework.context import OnlineRLContext
from ding.framework.middleware import OffPolicyLearner, StepCollector, interaction_evaluator, data_pusher, \
CkptSaver, online_logger, termination_checker
from ding.utils import set_pkg_seed
from dizoo.box2d.lunarlander.config.lunarlander_impala_config import main_config, create_config
from dizoo.box2d.lunarlander.envs import LunarLanderEnv
def main():
logging.getLogger().setLevel(logging.INFO)
cfg = compile_config(main_config, create_cfg=create_config, auto=True)
ding_init(cfg)
with task.start(async_mode=False, ctx=OnlineRLContext()):
collector_env = SubprocessEnvManagerV2(
env_fn=[lambda: LunarLanderEnv(cfg.env) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager
)
evaluator_env = SubprocessEnvManagerV2(
env_fn=[lambda: LunarLanderEnv(cfg.env) for _ in range(cfg.env.evaluator_env_num)], cfg=cfg.env.manager
)
set_pkg_seed(cfg.seed, use_cuda=cfg.policy.cuda)
model = VAC(**cfg.policy.model)
buffer_ = DequeBuffer(
size=cfg.policy.other.replay_buffer.replay_buffer_size, sliced=cfg.policy.other.replay_buffer.sliced
)
policy = IMPALAPolicy(cfg.policy, model=model)
task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env))
task.use(StepCollector(cfg, policy.collect_mode, collector_env, random_collect_size=1024))
task.use(data_pusher(cfg, buffer_, group_by_env=True))
task.use(OffPolicyLearner(cfg, policy.learn_mode, buffer_))
task.use(online_logger(train_show_freq=300))
task.use(CkptSaver(policy, cfg.exp_name, train_freq=10000))
task.use(termination_checker(max_env_step=2e6))
task.run()
if __name__ == "__main__":
main()
|