gym_env.py 文件源码

def __init__(self, env_name, record_video=True, video_schedule=None, log_dir=None, record_log=True,
                 force_reset=False):
        if log_dir is None:
            if logger.get_snapshot_dir() is None:
                logger.log("Warning: skipping Gym environment monitoring since snapshot_dir not configured.")
            else:
                log_dir = os.path.join(logger.get_snapshot_dir(), "gym_log")
        Serializable.quick_init(self, locals())

        env = gym.envs.make(env_name)
        self.env = env
        self.env_id = env.spec.id

        assert not (not record_log and record_video)

        if log_dir is None or record_log is False:
            self.monitoring = False
        else:
            if not record_video:
                video_schedule = NoVideoSchedule()
            else:
                if video_schedule is None:
                    video_schedule = CappedCubicVideoSchedule()
            self.env = gym.wrappers.Monitor(self.env, log_dir, video_callable=video_schedule, force=True)
            self.monitoring = True

        self._observation_space = convert_gym_space(env.observation_space)
        logger.log("observation space: {}".format(self._observation_space))
        self._action_space = convert_gym_space(env.action_space)
        logger.log("action space: {}".format(self._action_space))
        self._horizon = env.spec.tags['wrapper_config.TimeLimit.max_episode_steps']
        self._log_dir = log_dir
        self._force_reset = force_reset