def reset(self):
        """Is called only once when environment starts to provide the first observations.
        Doesn't calculate observations. Actual reset and observation calculation need to be implemented by user.
        Returns:
            Observation dictionary
        """
        self.obs_dict["obs"] = torch.clamp(self.obs_buf, -self.clip_obs, self.clip_obs).to(self.rl_device)

        # asymmetric actor-critic
        if self.num_states > 0:
            self.obs_dict["states"] = self.get_state()

        return self.obs_dict
Is called only once when environment starts to provide the first observations.
        Doesn't calculate observations. Actual reset and observation calculation need to be implemented by user.
        Returns:
            Observation dictionary
        
globe_walking/go1_gym/envs/base/vec_task.py