code: def reset(self):
          
          info = self._env.reset()[self.brain_name]
          n_agents = len(info.agents)
          self._check_agents(n_agents)
          self.game_over = False
  
          if not self._multiagent:
              obs, reward, done, info = self._single_step(info)
          else:
              obs, reward, done, info = self._multi_step(info)
          return obs
docs: Resets the state of the environment and returns an initial observation.
          In the case of multi-agent environments, this is a list.
          Returns: observation (object/list): the initial observation of the
              space.