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import gym |
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from ditk import logging |
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from ding.framework.supervisor import ChildType |
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from ding.model import DQN |
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from ding.policy import DQNPolicy |
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from ding.envs import DingEnvWrapper, EnvSupervisor |
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from ding.data import DequeBuffer |
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from ding.config import compile_config |
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from ding.framework import task |
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from ding.framework.context import OnlineRLContext |
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from ding.framework.middleware import OffPolicyLearner, StepCollector, interaction_evaluator, data_pusher, \ |
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eps_greedy_handler, CkptSaver |
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from ding.utils import set_pkg_seed |
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from dizoo.classic_control.cartpole.config.cartpole_dqn_config import main_config, create_config |
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def main(): |
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logging.getLogger().setLevel(logging.INFO) |
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cfg = compile_config(main_config, create_cfg=create_config, auto=True) |
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with task.start(async_mode=False, ctx=OnlineRLContext()): |
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collector_env = EnvSupervisor( |
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type_=ChildType.THREAD, |
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env_fn=[lambda: DingEnvWrapper(gym.make("CartPole-v0")) for _ in range(cfg.env.collector_env_num)], |
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**cfg.env.manager |
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) |
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evaluator_env = EnvSupervisor( |
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type_=ChildType.THREAD, |
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env_fn=[lambda: DingEnvWrapper(gym.make("CartPole-v0")) for _ in range(cfg.env.evaluator_env_num)], |
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**cfg.env.manager |
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) |
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set_pkg_seed(cfg.seed, use_cuda=cfg.policy.cuda) |
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model = DQN(**cfg.policy.model) |
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buffer_ = DequeBuffer(size=cfg.policy.other.replay_buffer.replay_buffer_size) |
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policy = DQNPolicy(cfg.policy, model=model) |
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task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env)) |
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task.use(eps_greedy_handler(cfg)) |
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task.use(StepCollector(cfg, policy.collect_mode, collector_env)) |
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task.use(data_pusher(cfg, buffer_)) |
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task.use(OffPolicyLearner(cfg, policy.learn_mode, buffer_)) |
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task.use(CkptSaver(policy, cfg.exp_name, train_freq=100)) |
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task.run() |
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if __name__ == "__main__": |
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main() |
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