import gym from ditk import logging from ding.config import compile_config from ding.data import DequeBuffer from ding.envs import BaseEnvManagerV2, DingEnvWrapper from ding.framework import ding_init, task from ding.framework.context import OnlineRLContext from ding.framework.middleware import CkptSaver, OffPolicyLearner, StepCollector, data_pusher, eps_greedy_handler, \ interaction_evaluator, online_logger from ding.model import DQN from ding.policy import DQNPolicy from ding.utils import set_pkg_seed from dizoo.cliffwalking.config.cliffwalking_dqn_config import create_config, main_config from dizoo.cliffwalking.envs.cliffwalking_env import CliffWalkingEnv def main(): filename = '{}/log.txt'.format(main_config.exp_name) logging.getLogger(with_files=[filename]).setLevel(logging.INFO) cfg = compile_config(main_config, create_cfg=create_config, auto=True) ding_init(cfg) collector_env = BaseEnvManagerV2( env_fn=[lambda: CliffWalkingEnv(cfg.env) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager ) evaluator_env = BaseEnvManagerV2( env_fn=[lambda: CliffWalkingEnv(cfg.env) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager ) set_pkg_seed(cfg.seed, use_cuda=cfg.policy.cuda) model = DQN(**cfg.policy.model) buffer = DequeBuffer(size=cfg.policy.other.replay_buffer.replay_buffer_size) policy = DQNPolicy(cfg.policy, model=model) with task.start(async_mode=False, ctx=OnlineRLContext()): task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env)) task.use(eps_greedy_handler(cfg)) task.use(StepCollector(cfg, policy.collect_mode, collector_env)) task.use(data_pusher(cfg, buffer)) task.use(OffPolicyLearner(cfg, policy.learn_mode, buffer)) task.use(online_logger(train_show_freq=10)) task.use(CkptSaver(policy, cfg.exp_name, train_freq=1000)) task.run() if __name__ == '__main__': main()