RandomResetWrapper¶
-
class
maze.core.wrappers.random_reset_wrapper.
RandomResetWrapper
(*args, **kwds)¶ A wrapper skipping the first few steps by taking random actions. This is useful for skipping irrelevant initial parts of a trajectory or for introducing randomness in the training process.
- Parameters
env – Environment/wrapper to wrap.
min_skip_steps – Minimum number of steps to skip.
max_skip_steps – Maximum number of steps to skip.
-
get_observation_and_action_dicts
(maze_state: Optional[Any], maze_action: Optional[Any], first_step_in_episode: bool) → Tuple[Optional[Dict[Union[int, str], Any]], Optional[Dict[Union[int, str], Any]]]¶ This wrapper does not modify observations and actions.
-
reset
() → Any¶ Override BaseEnv.reset to reset the step count.