import gym from ditk import logging from ding.model import VAC from ding.policy import PPOPolicy from ding.envs import DingEnvWrapper, BaseEnvManagerV2 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 multistep_trainer, StepCollector, interaction_evaluator, CkptSaver, \ gae_estimator, online_logger from ding.utils import set_pkg_seed from dizoo.box2d.lunarlander.config.lunarlander_ppo_config import main_config, create_config 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 = BaseEnvManagerV2( env_fn=[lambda: DingEnvWrapper(gym.make("LunarLander-v2")) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager ) evaluator_env = BaseEnvManagerV2( env_fn=[lambda: DingEnvWrapper(gym.make("LunarLander-v2")) 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) policy = PPOPolicy(cfg.policy, model=model) task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env)) task.use(StepCollector(cfg, policy.collect_mode, collector_env)) task.use(gae_estimator(cfg, policy.collect_mode)) task.use(multistep_trainer(policy.learn_mode, log_freq=50)) task.use(CkptSaver(policy, cfg.exp_name, train_freq=100)) task.use(online_logger(train_show_freq=3)) task.run() if __name__ == "__main__": main()