class_docstr: Interface definition for reinforcement learning environments
  defining the minimum required functionality for being considered an environment.
docstr: Resets the environment and returns the initial state.
  
  :return: the initial state after resetting.
docstr_tok: ["Resets","the","environment","and","returns","the","initial","state",".",":","return",":","the","initial","state","after","resetting","."]
code: def reset(self) -> Any:
      """Resets the environment and returns the initial state.
  
      :return: the initial state after resetting.
      """
  
file_path: maze/maze/core/env/base_env.py
imports: from abc import ABC, abstractmethod
  from typing import Tuple, Any, Dict
label_desc: Use image node_id 2 for calling the BaseEnv obj's underlying member method code with example usage: obj.reset() without return types