class_docstr: Interface definition for core environments forming the basis for actual RL trainable environments.
      
class_docstr_tok: ["Interface","definition","for","core","environments","forming","the","basis","for","actual","RL","trainable","environments","."]
docstr: Returns True if the just stepped actor is done, which is different to the done flag of the environment.
  
  :return: True if the actor is done.
docstr_tok: ["Returns","True","if","the","just","stepped","actor","is","done",",","which","is","different","to","the","done","flag","of","the","environment",".",":","return",":","True","if","the","actor","is","done","."]
code: def is_actor_done(self) -> bool:
      """Returns True if the just stepped actor is done, which is different to the done flag of the environment.
  
      :return: True if the actor is done.
      """
  
imports: from abc import ABC, abstractmethod
  from typing import Tuple, Any, Dict, Union, Iterable, Optional
  import numpy
  from maze.core.annotations import override
  from maze.core.env.environment_context import EnvironmentContext
  from maze.core.env.event_env_mixin import EventEnvMixin
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.reward import RewardAggregatorInterface
  from maze.core.env.serializable_env_mixin import SerializableEnvMixin
  from maze.core.env.structured_env import StructuredEnv, StepKeyType, ActorID
  from maze.core.env.time_env_mixin import TimeEnvMixin
  from maze.core.events.event_record import EventRecord
  from maze.core.log_events.kpi_calculator import KpiCalculator
  from maze.core.rendering.renderer import Renderer
label_desc: Use image node_id 13 for calling the CoreEnv obj's underlying member method code with example usage: obj.is_actor_done() without return types