from copy import deepcopy from ditk import logging from ding.model import DQN from ding.policy import DQNPolicy from ding.envs import DingEnvWrapper, SubprocessEnvManagerV2 from ding.data import DequeBuffer from ding.config import compile_config from ding.framework import task from ding.framework.context import OnlineRLContext from ding.framework.middleware import OffPolicyLearner, StepCollector, interaction_evaluator, data_pusher, \ eps_greedy_handler, CkptSaver, nstep_reward_enhancer, termination_checker from ding.utils import set_pkg_seed from dizoo.atari.envs.atari_env import AtariEnv from dizoo.atari.config.serial.pong.pong_dqn_config import main_config, create_config def main(): logging.getLogger().setLevel(logging.INFO) cfg = compile_config(main_config, create_cfg=create_config, auto=True) with task.start(async_mode=False, ctx=OnlineRLContext()): collector_cfg = deepcopy(cfg.env) collector_cfg.is_train = True evaluator_cfg = deepcopy(cfg.env) evaluator_cfg.is_train = False collector_env = SubprocessEnvManagerV2( env_fn=[lambda: AtariEnv(collector_cfg) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager ) evaluator_env = SubprocessEnvManagerV2( env_fn=[lambda: AtariEnv(evaluator_cfg) for _ in range(cfg.env.evaluator_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) 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(nstep_reward_enhancer(cfg)) task.use(data_pusher(cfg, buffer_)) task.use(OffPolicyLearner(cfg, policy.learn_mode, buffer_)) task.use(CkptSaver(policy, cfg.exp_name, train_freq=1000)) task.use(termination_checker(max_env_step=int(1e7))) task.run() if __name__ == "__main__": main()