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.

def reset(self):
        """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.
        """
        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